An electronic device is provided. The electronic device includes a touch screen and at least one processor operatively coupled to the touch screen. The at least one processor is configured to display an execution screen of a first application on the touch screen, based on receiving a drag input for one of a plurality of pieces of content included in the execution screen of the first application, identify whether the drag input moves to a preset area, based on the drag input moving to the preset area, identify a second application related to a property of the one piece of content, based on receiving a drop input after the drag input, divide the touch screen based on a position at which the drop input is received, display the execution screen of the first application in a first divided area, and display an execution screen of the second application in a second divided area.

A computing device includes a cooling device and a cooling activity monitor configured to assess a cooling activity of the cooling device. A cooling activity reporter is configured to, based at least in part on the cooling activity of the cooling device crossing a predefined cooling activity threshold, communicate a cooling activity indication to a resource manager of the computing device.

Computing devices and methods for determining opening and closing of touch sensitive interfaces are disclosed. In one example, a computing device comprises a touch screen display on a first substrate that is rotatably coupled to a second substrate that includes a trackpad. A trackpad identification signal transmitted by the trackpad is received at the touch screen display, and a touch screen identification signal transmitted by the touch screen is received at the trackpad. If the trackpad identification signal matches a trackpad identification key and the touch screen identification signal matches a touch screen identification key, then an energy level of one or both signals is compared to an energy level threshold. Based at least in part on the comparison of the energy level to the threshold, a power state transition is initiated.

Devices and methods for dynamic power configuration (e.g., reduction) for thermal management (e.g., mitigation) in a wearable electronic device such as an eyewear device. The wearable electronic device monitors its temperature and, responsive to the temperature, configures the services is provides to operate in different modes for thermal mitigation (e.g., to prevent overheating). For example, based on temperature, the wearable electronic device adjusts sensors (e.g., turns cameras on or off, changes the sampling rate, or a combination thereof) and adjusts display components (e.g., adjusted rate at which a graphical processing unit generates images and a visual display is updated). This enables the wearable electronic device to consume less power when temperatures are too high in order to provide thermal mitigation.

Systems and methods for monitoring hands-free metrics of personal electronic devices are disclosed. Connection of a personal electronic device to a charging circuit is detected and identified to a particular personal electronic device. Connections of each personal electronic device are aggregated and rendered to a display to provide feedback and gamification of periods of non-use of the personal electronic devices. Gamification is employed to promote non-use of the personal electronic devices.

Systems and methods for monitoring hands-free metrics of personal electronic devices are disclosed. Connection of a personal electronic device to a charging circuit is detected and identified to a particular personal electronic device. Connections of each personal electronic device are aggregated and rendered to a display to provide feedback and gamification of periods of non-use of the personal electronic devices. Gamification is employed to promote non-use of the personal electronic devices.

A wearable device for creating social distancing awareness is disclosed. The wearable device may include a sensor unit, an output unit, and a control unit connected to the sensor unit and the output unit. The sensor unit may detect one or more objects within a predetermined distance from a user wearing the wearable device. The control unit may control the output unit to generate one or more alerts for a predetermined time period, in response to detecting the one or more objects. The output unit may generate the one or more alerts for creating the social distancing awareness.

There is provided an apparatus comprising at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: receiving an activity type of a user; receiving sensor data; determining at least one measurement value based on the sensor data; detecting at least one first activity type specific change in the at least one measurement value; and activating a display in response to detecting the at least one first activity type specific change in the at least one measurement value.

The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.

The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.