Abstract: A system is provided that may include one or more processors that may receive one or more signals relating to operation of an energy system of a vehicle. The processors may calculate an operational status of the energy storage system based at least in part on comparing the one or more signals with one or more designated criteria related to the energy storage system. The processors may automatically control a shutdown and a startup of an engine of the vehicle responsive to the operational status of the energy storage system being below a threshold.

Abstract: Systems and methods are provided for reducing WAN bandwidth consumption used by multicast for large scale software-defined branch deployments. In particular, a cloud-based multicast orchestrator may be implemented as part of an SD-WAN service. This cloud-based multicast orchestrator may orchestrate routes for multicast traffic between a multicast source and the various branches of the large scale software-defined branch deployment. This cloud-based multicast orchestrator may orchestrate routes for multicast traffic which reduce/optimize WAN bandwidth consumption. In combination with the cloud-based multicast orchestrator, examples may utilize a branch gateway hierarchy which designates one branch gateway a “leader” for a given multicast stream to further reduce WAN bandwidth consumption used by multicast.

Abstract: A method includes receiving a training dataset that includes one or more spoken training utterances for training an automatic speech recognition (ASR) model. Each spoken training utterance in the training dataset paired with a corresponding transcription and a corresponding target sequence of auxiliary tokens. For each spoken training utterance, the method includes generating a speech recognition hypothesis for a corresponding spoken training utterance, determining a speech recognition loss based on the speech recognition hypothesis and the corresponding transcription, generating a predicted auxiliary token for the corresponding spoken training utterance, and determining an auxiliary task loss based on the predicted auxiliary token and the corresponding target sequence of auxiliary tokens. The method also includes the ASR model jointly on the speech recognition loss and the auxiliary task loss determined for each spoken training utterance.

Abstract: Methods and systems for detecting threats using threat signatures loaded in a computing device.

Abstract: In a method of determining and sharing proximity of device users within an environment of an observation platform, the observation platform determines that a first communication device associated with a first user is in the environment of the observation platform. The observation platform detects that the first communication device is in proximity to a second communication device associated with a second user. Responsive to the detection, the observation platform generates proximity information for the first user and the second user. The observation platform relays the proximity information to a second observation platform via a computer network, wherein a second environment of the second observation platform is separate from the environment of the observation platform.

Abstract: A method, a computer-readable medium, and an apparatus are provided for wireless communication at a network node having a split bearer configuration with a user equipment (UE). The network node measures, at a primary node (MN) or a secondary node (SN), a data burst statistic for the network node, the data burst statistic being based on at least one of a burst level throughput or a packet loss measurement for a data burst between the UE and the MN based on a first bearer in the split bearer configuration or between the UE and the SN based on a second bearer in the split bearer configuration. The network node provides the data burst statistic from the network node to at least one of the MN or a core network component.

Abstract: A method includes receiving distillation data including a plurality of out-of-domain training utterances. For each particular out-of-domain training utterance of the distillation data, the method includes generating a corresponding augmented out-of-domain training utterance, and generating, using a teacher ASR model trained on training data corresponding to a target domain, a pseudo-label corresponding to the corresponding augmented out-of-domain training utterance. The method also includes distilling a student ASR model from the teacher ASR model by training the student ASR model using the corresponding augmented out-of-domain training utterances paired with the corresponding pseudo-labels generated by the teacher ASR model.

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications system may utilize an inter-system information report message (e.g., a self-organizing network (SON) information report message) to support inter-system mobility load balancing (MLB). For example, a first node, operating in accordance with a first radio access technology (RAT), may receive an information report message from a second node operating in accordance with a second RAT. The information report message may include a periodic load reporting request information element (IE) or an event-triggered load reporting request IE. In response, the first node may determine a traffic load based on the load reporting request and transmit, to the second node, an information report message which includes one or more IEs for reporting the determined traffic load. The exchange of the load information via the IEs may enable for MLB between nodes of different RAT.

Abstract: Techniques including a memory controller with a set of memory channel queues, wherein memory channel queues of the set of memory channel queues correspond to memory channels to access a set of memory modules, a first arbitration module, and a second arbitration module. The memory controller is configured to receive a first memory request from the peripheral and place one or more portions of the first memory request in the memory channel queues of the set of memory channel queues. The first arbitration module is configured to determine an arbitration algorithm, select a first memory channel queue based on the arbitration algorithm, present the one or more portions of the first memory request in the selected first memory channel queue to the second arbitration module, and output the presented one or more portions of the first memory request based on a selection by the second arbitration module.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may measure quality of experience (QoE) metrics and transmit a QoE report that is formatted to be readable by a base station, such that a base station may receive the QoE report and independently perform adjustments associated with the service being utilized by the UE. A UE may receive a configuration message that includes a first configuration for reporting QoE measurements to a base station and a second configuration for reporting QoE measurements to a QoE server. The UE may measure one or more QoE metrics in accordance with the configuration message, and generate a first report for the base station based on the QoE measurements and the first configuration. Upon generating the report, the UE may transmit the first report to the base station in accordance with the first configuration.

Abstract: In a method of query derivation in an observation platform a signal from a first communication device is received at a second communication device that is associated with a computer system. The computer system is associated with an organization and a first characteristic of the signal corresponds to an audible source. The signal is parsed, by the computer system according to a policy, to determine metadata associated with the signal, wherein the first communication device is operated by a user and wherein the policy dictates rules for use of the metadata. The computer system determines a prior user history of the user. The computer system converts the audible source of the signal to text or machine understandable language. The computer system derives a query related to the organization based on at least one of the prior user history, the metadata, and the text or machine understandable language.

Abstract: Aspects described herein relate to improving layer 1 (L1)/layer 2 (L2) mobility in certain scenarios. In some aspects, an indication of mobility from a first cell in a candidate cell set configured for L1/L2 mobility to a second cell can be received, and one or more parameters related to mobility failure or mobility history or radio link failure (RLF) associated with the mobility to assist the network node in at least one of performing a subsequent L1/L2 mobility for the UE or avoiding RLF or mobility failure during the subsequent L1/L2 mobility can be transmitted. In other aspects, the indication of mobility can be transmitted and the one or more parameters can be received. In some aspects, a list of conditional primary secondary cell (PSCell) change (CPC) configurations can be communicated following a PCell switch.

Abstract: Methods, systems, and devices for wireless communications are described. A communication link between the UE and a serving base station may be established. The UE may measure, at an application layer of the UE, a set of quality of experience variables associated with different service types. The UE may measure, at an access stratum of the UE, a set of radio resource management variables associated with the communication link between the UE and the serving base station and a communication link between the UE and a corresponding set of one or more neighboring base stations associated with the communication links. The UE may transmit a measurement report to the serving base station indicating information associated with the quality of experience variables and the radio resource management variables in a multi-layer readable format.

Abstract: A method of wireless communication includes determining, based on a plurality of network measurements performed by a user equipment (UE), one or more measurement log files associated with the plurality of network measurements. The method further includes receiving, by the UE from a network device, a request associated with the one or more measurement log files. The request indicates at least one measurement filter. The method further includes transmitting, by the UE to the network device, a response to the request. The response includes first measurement results of the one or more measurement log files selected based on the at least one measurement filter and excludes second measurement results of the one or more measurement log files based on the at least one measurement filter.

Abstract: The present disclosure relates generally to a vehicle safety system. The vehicle safety system may include operational sensors sensing operational characteristics of a vehicle, environmental sensors sensing environmental characteristics of an environment external to the vehicle, and one or more processors. The operational and environmental sensors may output operational and environmental data based on the operational and environmental characteristics that are sensed by the respective sensors. The processors may examine the operational and environmental data to determine whether the vehicle is in a safe state for an onboard operator of the vehicle to exit the vehicle while avoiding the vehicle rolling away from a stationary state. The processors may examine the operational and environmental data to determine whether the vehicle is not in the safe state and may generate one or more notifications to the operator in response to determining that the vehicle is not in the safe state.

Abstract: Implementations disclosed herein are directed to a hybrid federated learning (FL) technique that utilizes both federated averaging (FA) and federated distillation (FD) during a given round of FL of a given global machine learning (ML) model. Implementations may identify a population of client devices to participate in the given round of FL, determine a corresponding quantity of instances of client data available at each of the client devices that may be utilized during the given round of FL, and select different subsets of the client devices based on the corresponding quantity of instances of client data. Further, implementations may cause a first subset of the client devices to generate a corresponding FA update and a second subset of client devices to generate a corresponding FD update. Moreover, implementations may subsequently update the given global ML model based on the corresponding FA updates and the corresponding FD updates.

Abstract: In a method of moderating action requests and structured communications within an observation platform, in response to a request interaction a computer system sets up an action request regarding a structured communication in the observation platform. The computer system analyzes the action request with respect to context in the observation platform, where the context is one of user context in the observation platform and device context in the observation platform. The computer system analyzes the action request with respect to status in the observation platform, where the status is one of user status in the observation platform and device status in the observation platform. The computer system moderates an action in the observation platform with respect to the structured communication based on results of the context and status analyses.

Abstract: In a method of observation platform collaboration integration, a collaboration application is provisioned at an observation platform. The provisioning is administered by a cloud services platform in collaboration with a computer system of the observation platform and includes configuration and deployment of the collaboration application within the observation platform. An automation software component is sent from the collaboration application for resident installation at an external collaboration application which is external to an environment of the observation platform. The automation software component organizes information in the external retailer system for exchange, via a cloud-based gateway, with the collaboration application. The collaboration application is communicatively coupled, via the cloud-based gateway, with the external collaboration application. User information and task information are synchronized between the collaboration application and the external collaboration application.

Abstract: In a method of managing emergency management information within an observation platform an emergency management and response application is provisioned at an observation platform. The provisioning is administered by a cloud services platform and includes configuration and deployment of the emergency management and response application within the observation platform. In response to receipt at the observation platform of a report of an emergency, operation of the emergency management and response application is triggered within the observation platform. Emergency management information is sent, via the emergency management and response application, to a group of users of the observation platform. The emergency management information includes at least one of an alert related to the emergency and instructions related to the emergency.

Abstract: A method for collecting data and deriving performance metrics for one or more users within an observation platform environment is described. The method includes recognizing a user identity based on signals from the communications device; Capturing a user's voice message and the secondary signal indicative of the location of the communications device or the relative proximity of the communications device to other devices; Deriving statistical data comprising: primary statistics, secondary statistics, and higher-order statistics from the secondary signal and voice message; and Storing the user identity, the voice message, the location of the communications device, and the statistical data in a database forming a user record, wherein the user record is processed by an inference engine to derive performance information about the user.