Abstract: A system comprises: a sensor configured to detect a gesture relating to a vehicle; a network; an electronic control unit (ECU) coupled to the network, a display device, and the sensor, the ECU providing media functionality for the vehicle, the ECU configured to present a surround view video on the display device, determine a gesture state and screen coordinates for the gesture, and send the gesture state and the screen coordinates over the network; cameras providing feeds; and an ECU coupled to the network and to the cameras, the ECU providing an advanced driver assistance system (ADAS) for the vehicle, the ECU configured to receive the gesture state and the screen coordinates over the network, generate the surround view video based on the feeds of the cameras and the gesture state and the screen coordinates, and send the surround view video over the network.

Abstract: Systems and methods for identifying recommended topics are disclosed. An example method may be performed by one or more processors of a system and include identifying one or more attributes of a system user, identifying a subset of topics relevant to the system user based on analyzing the one or more attributes of the system user using an analysis model trained with a machine learning process to identify relevant topics for system users based on historical user attributes, generating, for each respective topic of the subset of topics, using the trained analysis model, a relevance score for the respective topic based at least in part on a most recent system page previously accessed by the system user and a current system page accessed by the system user, and generating one or more recommended topics for the system user based on the relevance scores.

Abstract: A processor may launch a common layer including a browser and a shell. The processor may identify a request for data required by the software platform. The processor may determine a context in which the request was generated by detecting, by the shell, whether the software platform is an on-premise solution or a cloud solution; examining, by the shell, the request to determine whether it requires local resources or cloud-based resources; and designating, by the shell, the context as a cloud-based context or an on-premise context based on the detecting and the examining. In response to the determining, the processor may perform processing related to a request generated in the on-premise context using at least one local resource stored in a local data store; and communicate, by the browser, with at least one cloud-based resource to perform processing related to a request generated in the cloud-based context.

Abstract: The latency corresponding to a latency-sensitive event-based processor is evaluated to determine whether the latency-sensitive event-based processor (EBP) should be prioritized. If so, constraints on the number of events that the latency-sensitive EBP can process are relaxed and the frequency with which the latency-sensitive EBP can process events is increased. At a next latency evaluation, if the latency-sensitive EBP no longer meets criteria for prioritization, the constraint on the number of events is returned to a nominal level, as is the frequency with which the latency-sensitive EBP can process events.

Abstract: Systems and methods for identifying recommended topics are disclosed. An example method may be performed by one or more processors of a system and include identifying one or more attributes of a system user, identifying a subset of topics relevant to the system user based on analyzing the one or more attributes of the system user using an analysis model trained with a machine learning process to identify relevant topics for system users based on historical user attributes, generating, for each respective topic of the subset of topics, using the trained analysis model, a relevance score for the respective topic based at least in part on a most recent system page previously accessed by the system user and a current system page accessed by the system user, and generating one or more recommended topics for the system user based on the relevance scores.

Abstract: A method and system provides personalized self-help assistance to users of a data management system. The method and system trains an analysis model to identify relevant assistance topics based personal attributes of the user and contextual attributes associated with the user. The method and system outputs personalized assistance topics recommendation data to the user based on the analysis of the analysis model.

Abstract: The latency corresponding to a latency-sensitive event-based processor is evaluated to determine whether the latency-sensitive event-based processor (EBP) should be prioritized. If so, constraints on the number of events that the latency-sensitive EBP can process are relaxed and the frequency with which the latency-sensitive EBP can process events is increased. At a next latency evaluation, if the latency-sensitive EBP no longer meets criteria for prioritization, the constraint on the number of events is returned to a nominal level, as is the frequency with which the latency-sensitive EBP can process events.

Abstract: A calendar application on a communication device generates a user interface that allows a user to interact with a representation of a calendar event. The calendar application detects a user configuration input indicative of how to control the communication device, in responding to a real-time communication event, during the calendar event. When the real-time communication event is detected during the calendar event, the calendar application controls the communication device based upon the configuration input.

Abstract: A operation knob device (10) for an armrest, that is configured to unlock the armrest and moves the armrest to a useable state, includes: a knob min body (30) having an operation knob (32); and an inner case (50) disposed around the knob main body (30) and configured to expose the operation knob (32) from a first opening (55). The inner case (50) includes a plurality of case protrusions (60) that protrude from a lower region (54a) of a lower edge of the first opening (55) toward the knob main body (30). The knob main body (30) includes a plurality of main body protrusions (40) that protrude toward the lower region (54a) of the inner case (50). The plurality of case protrusions (60) and the plurality of main body protrusions (40) are alternately disposed when viewed in a +Z direction.

Abstract: A operation knob device (10) for an armrest, that is configured to unlock the armrest and moves the armrest to a useable state, includes: a knob min body (30) having an operation knob (32); and an inner case (50) disposed around the knob main body (30) and configured to expose the operation knob (32) from a first opening (55). The inner case (50) includes a plurality of case protrusions (60) that protrude from a lower region (54a) of a lower edge of the first opening (55) toward the knob main body (30). The knob main body (30) includes a plurality of main body protrusions (40) that protrude toward the lower region (54a) of the inner case (50). The plurality of case protrusions (60) and the plurality of main body protrusions (40) are alternately disposed when viewed in a +Z direction.