Abstract: Methods for updating an application programming interface (API) field of a transaction message may include receiving, with at least one processor, a payment transaction message, wherein the payment transaction message comprises data associated with a payment transaction; determining, with at least one processor, one or more API fields of the payment transaction message based on the data associated with the payment transaction; and modifying, with at least one processor, one or more API fields of the payment transaction message. Methods may also include transmitting, with at least one processor, a modified payment transaction message based on modifying the one or more API fields of the payment transaction message. Systems and computer program products are also disclosed.

Abstract: In particular embodiments, the disclosure provides a method comprising: rendering, on a graphics processing unit (GPU), a low-resolution image associated with a scene, the low-resolution image having a resolution that is lower than a target resolution; transmitting a version of the low-resolution image to a neural accelerator; processing, on the neural accelerator, the version of the low-resolution image using a trained machine-learning model, thereby outputting a plurality of control parameters; transmitting the control parameters from the neural accelerator to the GPU; processing, on the GPU, the low-resolution image and the control parameters to construct a high-resolution image having the target resolution, wherein the GPU is programmed to determine a plurality of pixel weights for performing an interpolation using the control parameters; and outputting the high-resolution image.

Abstract: A natural language system may be configured to act as a participant in a conversation between two users. The system may determine when a user expression such as speech, a gesture, or the like is directed from one user to the other. The system may processing input data related the expression (such as audio data, input data, language processing result data, conversation context data, etc.) to determine if the system should interject a response to the user-to-user expression. If so, the system may process the input data to determine a response and output it. The system may track that response as part of the data related to the ongoing conversation.

Abstract: A vehicle includes a controller programed to: collect a set of data related to a driver of the vehicle; predict a driving setting for the driver using the set of data and an initial student-T process (STP) machine learning (ML) model; generate an updated STP ML model based on the prediction of the driving setting as to the set of vehicle data; transmit incremental learning related to the updated STP ML model to a server; and receive, from the server, a personalized driving setting for the driver output from a cloud STP ML model trained by the incremental learning.

Abstract: A method for updating an associated ID (AID) in a network when a Basic Service Set (BSS) color change occurs is provided. The network includes an Access Point (AP) and a plurality of associated stations (STAs). The method includes: detecting a color collision; setting a new BSS color in response to the color collision; configuring an AID update request frame, wherein an updated AID according to the new BSS color is inserted into a subElement Information Element (IE) field of the AID update request frame; and sending the AID update request frame to the plurality of associated STAs to inform the associated STAs of the updated AID.

Abstract: Embodiments herein disclose methods and devices for managing data traffic on a receiver. A method disclosed herein includes detecting, by a receiver, at least one out of order radio link control (RLC) protocol data unit (PDU) in a plurality of RLC PDUs received from a transmitter, performing, by the receiver, a recovery action based on a Packet Data Convergence Protocol (PDCP) reordering time to recover the at least one out of order RLC PDU; and causing, by the receiver, an RLC layer to send a plurality of RLC service data units (SDUs) to a higher layer after the performing the recovery action, the plurality of RLC SDUs corresponding to the plurality of RLC PDUs.

Abstract: A network function is responsible for enforcing network slice quotas. The network function identifies a network slice quota for a single network slice selection assistance information (S-NSSAI), determines that the network slice quota for the S-NSSAI includes a first quota corresponding to fifth generation (5G) packet data unit (PDU) sessions and a second quota corresponding to interworking handovers between a fifth generation core (5GC and an evolved packet core (EPC), receives a request to update the network slice quota and updates the network slice quota for the S-NSSAI based on the request.

Abstract: The present disclosure relates to proximity-based content visibility control. A secondary client device can request access to an enterprise resource and receive metadata associated with the enterprise resource. The secondary client device can provide, to a primary client device via a peer-to-peer communication channel, data associated with a proximity of the secondary client device to the primary client device. When the proximity falls below a predefined proximity threshold, the secondary client device can receive an access token from the primary client device via the peer-to-peer communication channel. The secondary client device can render the enterprise resource in a display. The secondary client device can receive a notification from the primary client device that the proximity meets or exceeds the predefined proximity threshold. The secondary client device can obscure at least one sensitive portion of the enterprise resource in the display based at least in part on the metadata.

Abstract: Analyzing the complexity of an object of a scene in a media steam (or media data) performed by at least one processor, is provided, including receiving immersive media data comprising a plurality of scenes from a content source; obtaining a respective object of a respective scene in the plurality of scenes, from the immersive media data; analyzing the respective scene to generate complexity information associated with the respective object of the respective scene; generating metadata associated with the respective object of the respective scene, the metadata comprising the complexity information; and determining whether to distribute the respective scene to a client for processing based on the generated metadata.

Abstract: Disclosed are various approaches for peer-to-peer device security detection. In some examples, a first client device transmits verification data to a second client device. The verification data includes a public key verification certificate of the client device, and a time-based session token generated by the first client device. The first client device receives a preliminary cross-comparison package from the second client device. The preliminary package includes a spoof-check token, and peer device context data of the second client device. The first client device generates a cross-comparison package using the preliminary cross-comparison package and local device context data of the first client device, and transmits the cross-comparison package to a management service for cross-comparison.

Abstract: In one embodiment, an apparatus includes a module receivable in a modular electronic system, arms extending from a front panel of the module, and a cable support bracket connected to the arms. The cable support bracket is slidably connected to the arms to change a distance between the cable support bracket and the front panel of the module.

Abstract: Provided herein are recombinant vesicular stomatitis virus (rVSV) or rVSV vector comprising nucleic acid encoding the spike glycoprotein S of SARS-COV-2, compositions comprising such vectors or viruses, as well as screening methods, diagnostic methods, prophylactic and therapeutic methods using such vectors or viruses.

Abstract: Disclosed are methods and systems for predicting time varying loudness in a geographic region. Training data, including noise information, weather information, and traffic information is collected from a plurality of sensors located in a plurality of geographic regions. The information is collected during multiple time periods. The noise information includes time varying loudness. Static features of the geographic regions are also defined and included in the training data. The static and time varying dynamic features train a model. The model is used predict time varying loudness within a different region and at a time later than times the training data is collected. The predicted loudness levels are utilized, in some aspects, to determine a route for an aircraft.

Abstract: A system for saving history information of input data to parameters included in a view is provided. The system includes a processor configured to: output an instance of the view; obtain pre-stored view details for the view, including identifiers of the parameters and tables to which input data of the parameters included are to be stored; make a generic API call to save current input data of a parameter to a table, wherein an input to the API call includes the current input data and old data of the parameter; based on the current input data and the old data being different, store the current input data in the table, create history information of the current input data and store the history information in a history table.

Abstract: A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

Abstract: Automated item management techniques are disclosed. For example, for a given item type obtainable from one or more sources and storable as inventory at one of a first site or a second site and based on a given demand forecast, a method classifies the item type based on historical data associated with obtaining the item type from the one or more sources. The method computes a risk factor value for the item type based on one or more risk factors. The method then computes, for the given demand forecast and based on the classifying and the risk factor value, a first amount of the item type to store as inventory at the first site and a second amount of the item type to store as inventory at the second site.

Abstract: Disclosed are various embodiments of systems and methods of Granular location-based data security. Various embodiments can be configured to at least identify a map having a plurality of regions, each region of the plurality of regions corresponds to a real-world location and one of a plurality of security indicators. Next, various embodiments can receive a signal that indicates that a user has entered a first real-world location and then, based on the signal, determine a region of the plurality of regions. Next, various embodiments can receive a document access request to access a document. The various embodiments can then determine that the client device is not permitted to access the document while located in the region. Then various embodiments can send, to the client device, a response that directs the client device to perform an action that inhibits the client device from accessing the document.

Abstract: A dual pump unit having a pair of pumps that provide parallel hydraulic paths, and are configured to operate concurrently in opposite rotational directions. The dual pump unit has a sealed casing which includes a suction flange, two volutes in hydraulically parallel configuration, and a discharge flange. The pair of pumps are located within a respective volute of the casing and, in an example, are radially inline and horizontally inline. The casing may include a flattened bottom. Each pump may include a touchscreen for configuration of the respective pump. The pumps are controllable to circulate a circulating medium to collectively provide output to source a load.

Abstract: An authenticator device is a portable device that includes memory, a communications interface, and a controller. The controller receives authentication information from a cloud network via a communications interface, stores the authentication information in the memory, and authenticates a device utilizing the authentication information when the authenticator device and the device are not connected to the cloud network. A method to authenticate a wireless device in an offline environment is also provided.

Abstract: An apparatus, a method, and a computer program product for use in performing, monitoring, and evaluating the performance of therapeutic exercises. The apparatus includes a human-device interface and a motion sensor. In response to movement of the human-device interface, a controller receives motion data from the motion sensor, and transmits the motion data to a computing device. Based on the motion data, the computing device displays a graphical element that depicts the movement. The computing device compares the movement to a target motion, and if the movement matches the target motion, displays a graphical element indicating an exercise is being performed properly. If the movement does not match the target motion, the computing device indicates the exercise is not being performed properly and displays another graphical element indicating how to correct the motion.