Abstract: Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.

Abstract: Disclosed are techniques for wireless communication. In an aspect, UE communicates data associated with a communication session over a first RAT (e.g., LTE, NR, WLAN, etc.) in accordance with a first set of performance parameters (e.g., codec, QoS, bitrate, bandwidth, etc.). UE performs, during the communication session, an inter-RAT handover from the first RAT to a second RAT (e.g., LTE, NR, WLAN, etc.). UE transmits a re-INVITE over the second RAT in response to the inter-RAT handover. UE receives an indication of a second set of performance parameters (e.g., codec, QoS, bitrate, bandwidth, etc.) in response to the re-INVITE. UE communicates data associated with the communication session over the second RAT in accordance with the second set of performance parameters.

Abstract: A system includes a modulating furnace and control circuitry. The control circuitry is configured to receive a call for heating associated with a quick heat cycle. In response to the call for heating, the control circuitry is also configured to operate the modulating furnace in a quick heat operating mode for a threshold time period. Subsequent to the threshold time period, the control circuitry is also configured to operate the modulating furnace in a modulating heat operating mode.

Abstract: Various embodiments are described herein for systems and methods that can be used to operate a media transmission network. In at least one embodiment, the media transmission network comprises a plurality of media processing devices configured to receive and process media streams based on control data. The media transmission network also comprises a controller coupled to the plurality of media processing devices and configured to generate a control signal for some or all of the media processing devices in the network. The controller is configured to determine the timing at which to transmit the control signal to a respective media processing device in order for the instructions in the control signal to be executed at the same time as the media data is received. The controller determines the transmission timing of each control signal by determining the latencies and delays of the network and the devices, such as, for example, network latency, processing delay, and/or control delay.

Abstract: Methods and systems are provided for configuring static memory in a device by analyzing a set of functionalities of a first device based on at least one use case wherein the at least one use case are associated with configuring available static memory in processing at least one functionality of the first device; configuring at least a first profile composed of the first part for memory allocation of the available static memory to a first processor, and a second part for memory allocation of the available static memory to a second processor of the first device; selecting the first profile either automatically or via a graphical user interface (GUI) by identifying a set of performance characteristics related to the functionality, and implementing the memory allocation by the first profile in processing the at least one functionality in the use case by the first device.

Abstract: Systems and methods for providing ticket support using a machine learning model trained using clusters of support tickets that are clustered based on similarity of resolution commands are provided. The system extracts commands used to resolve prior tickets and creates clusters of resolved tickets based on similarity of the commands. For each cluster, problem statements are extracted from the resolved tickets. The system trains a machine learning model with the extracted problem statements to identify a cluster number for each cluster. With a new support ticket, the system extracts a problem statement from the new ticket and identifies a predicted cluster number by applying the trained machine learning mode! to the problem statement from the new ticket. Based on the predicted cluster number, one or more commands used to resolve the prior tickets in the cluster corresponding to the predicted cluster number are accessed and provided to a requesting user.

Abstract: A network device may receive a subscription request to subscribe to a multimedia priority service (MPS) for a user device, and may generate an MPS profile for the user device based on the subscription request. The network device may store the MPS profile in a data structure, and may receive, from the user device, a request to generate an MPS token for the user device. The network device may retrieve the MPS profile from the data structure based on the request to generate the MPS token, and may generate the MPS token based on the MPS profile. The network device may provide the MPS token to the user device.

Abstract: A device may receive small cell data associated with a small cell, wherein the small cell data includes small cell location data and a small cell barometric pressure reading. The device may identify a calibration user device connected to the small cell and may receive, from the calibration user device, a user device barometric pressure reading. The device may calibrate, based on the user device barometric pressure reading, the small cell barometric pressure reading to obtain a calibrated small cell barometric pressure reading. The device may identify a reference weather station and may receive, from the reference weather station, weather station data, wherein the weather station data includes a weather station barometric pressure reading, and a weather station altitude that indicates an altitude of the reference weather station. The device may determine a small cell altitude based on the calibrated small cell barometric pressure reading and the weather station data.

Abstract: A data warehouse connector service is described. The data warehouse connector service integrates with an identity resolution system of a customer data platform to systematically communicate identity-resolved customer profile data from the customer data platform to a cloud-based data warehouse. Operation of the data warehouse connector is managed through various configuration settings accessible to an end-user of the customer data platform via a user interface.

Abstract: Aspects of the invention are directed towards systems and methods for changing the premises in a building such as hotel or the like. A user sends to a request from a user device to a server for switching a first premises with the second premises. An access card is able to access the first premises. Based on the request, the server determines the second premises and generates access credentials for the second premises. The access credentials are transmitted to a first access terminal associated with the first premises and the access card is encoded with the access credentials to access the second premises and permitting entry inside the second premises.

Abstract: A communication network (10) provides communicative coupling between potentially large populations of Internet-of-Things (IoT) devices (12) and/or other types of communication devices (12) and one or more Application Servers (ASs) (14) that are affiliated with respective ones of the communication devices (12). One or more network functions (30, 58) in the communication network (10) are operative to determine that any given one of the communication devices (12) is compromised, or that multiple such devices (12) are compromised, and provide for management of such devices (12) within the network (10) as “compromised” devices (12). Aspects of compromised-device management include forcing re-registration of such devices (12), for quarantining them in one or more quarantine network slices (54), and recovering quarantined devices (12) after remediation of the compromise.

Abstract: Clock generation circuit generating multiple divided signals satisfying respective desired offsets. A phase locked loop (PLL) is used to generate a PLL output having a frequency which is a desired multiple of that of a reference clock. The circuit divides the PLL output by a corresponding divisor to generate a corresponding divided signal, wherein each divided signal is offset from a common reference by at least an associated desired time offset. The common reference is timed with respect to the reference clock when the reference clock is available and with respect to a time reference signal otherwise. This arrangement is extended to use the internal time reference signal even for the cases where the reference clock is present by blocking the reference clock while the output systems across PLLs are aligned using the internal time reference signal to ensure desired offsets across different PLLs with a small uncertainty.

Abstract: A waveguide arranged as a pupil expander for a display system is disclosed. The waveguide comprises a pair of opposing surfaces arranged to guide a light field therebetween by internal reflection. An input port is arranged to receive light from the display system. A reflective element is arranged to internally reflect the light field. The input port and reflective element are formed on a second surface of the pair of opposing surfaces. An output port is formed on a first surface of the pair of opposing surfaces by a transmissive-reflective element configured to divide the light field at each internal reflection therefrom such that a plurality of replicas of the light field are transmitted out of the waveguide through the output port.

Abstract: Systems and methods for query generation based on merger of subqueries are described. For example, methods may include accessing a first join graph representing tables in a database, wherein the first join graph has vertices corresponding to respective tables in the database and directed edges corresponding to join relationships; receiving a first query specification that references data in two or more of the tables of the database to specify multiple subqueries in a set of subqueries; checking that two or more subqueries from the set of subqueries have the same join graph; checking that the two or more subqueries have the same set of grouping columns; responsive, at least in part, to the two or more subqueries having the same join graph and the same set of grouping columns, merging the two or more subqueries to obtain a consolidated query.

Abstract: A mobile consumer device with a display, processor(s), and memory: identifies a merchant device in proximity to the consumer device based on broadcasted information transmitted by the first merchant device, the broadcasted information including a first identifier corresponding to the first merchant device; transmits the first identifier to a server and receives from the server an electronic communication including identification and transaction information associated with the merchant; displays the identification information, receives user selection of the merchant identification information; and in response, displays the merchant transaction information, receives supplemental user information, and transmits the supplemental transaction information to the server for completion of the transaction.

Abstract: A method includes displaying a plurality of computer-generated objects, and obtaining finger manipulation data from a finger-wearable device via a communication interface. In some implementations, the method includes receiving an untethered input vector that includes a plurality of untethered input indicator values. Each of the plurality of untethered input indicator values is associated with one of a plurality of untethered input modalities. In some implementations, the method includes obtaining proxy object manipulation data from a physical proxy object via the communication interface. The proxy object manipulation data corresponds to sensor data associated with one or more sensors integrated in the physical proxy object. The method includes registering an engagement event with respect to a first one of the plurality of computer-generated objects based on a combination of the finger manipulation data, the untethered input vector, and the proxy object manipulation data.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a machine learning model and a credit value model to generate user interface elements that present credit values and credit value conditions in real time for user accounts. For instance, the disclosed systems can generate an activity score using an activity machine learning model with internal user activity data of a user account. Then, utilizing a credit value model with the activity score and a user activity condition, the disclosed systems can determine a dynamic credit value range for the user account. Indeed, the disclosed systems can display user interface elements with selectable credit values from the dynamic credit value range. Additionally, the disclosed systems can utilize the credit value model to determine and display one or more dynamic credit value conditions for a selected credit value received from the selectable credit values.

Abstract: The present disclosure provides a system (100) and a method (200) for real-time debugging of a processor (102). The system includes a debugging unit (104) configured to receive a first set of instructions from the processor. The first set of instructions includes a set of function calls and/or a set of jump instructions. The debugging unit further includes a skip list unit (106) including a skip set of instructions. The skip list unit is configured to remove, from the first set of instructions, the skip set of instructions to generate a second set of instructions. The debugging unit includes a loop exclusion unit (108) configured to determine loops of instructions based on loop unrolling of the second set of instructions to generate a third set of instructions by removing loops of instructions from the second set of instructions. The debugging unit is configured to store the third set of instructions.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for candidate ranking for content recommendation. An embodiment operates by receiving category candidates over a network, wherein each of the category candidates comprises content candidates associated with one or more applications operating on media devices. The embodiment then ranks the category candidates based on a machine model trained using a learning algorithm based on the time series data, and ranks the content candidates in the each of category candidates based on the time series data. The embodiment then causes the ranked category candidates and the ranked content candidates to be outputted for display.

Abstract: Systems, methods, and computer-readable media are disclosed for validating multiple paths used for routing network traffic in a network. In one aspect, a network controller can identify one or more intermediate nodes on each of multiple paths in a network, wherein the multiple paths begin at a first network node and end at a last network node. The network controller can further generate a data packet with a label at the first network node, forward the test data packet from the first network node, along each of the one or more intermediate nodes, to the last network node, and perform a data plane validation process for validating packet forwarding from the first network node to the last network node based on the label(s) by determining if a number of the multiple paths equals to a number of packets received at the last network node.