An electronic device has sensing circuitry and control circuitry. The control circuitry generates, based on generated sensor data, information indicative of movement of the electronic device. The control circuitry generates control signals to control operation of the electronic device in a plurality of power states, including a working-power state, an intermediate-power state and a low-power state, based on the information indicative of movement.

An electronic device is provided. The electronic device includes a housing, a display, a middle plate, an adhesive layer, a support layer, and a coating layer. The housing includes a front plate facing a direction, a rear plate facing an opposite direction, and a lateral member surrounding a space between the front and rear plate. The display is configured to be seen through the front plate, and includes a first and second surface. The middle plate is disposed between the display and the rear plate, and includes a surface facing the display, and a recess. The adhesive layer is attached to the display, and the support layer is disposed between the adhesive layer and the middle plate. The coating layer is disposed between the support layer and the adhesive layer and is disposed in a first portion overlapped with the recess when viewed from the display.

Methods, systems, computer-readable media, and apparatuses for managing sensors and computing devices associated with a premises are presented. An example method comprises receiving, by a computing device and from a mobile device at a premises: an image of a sensor, and a request to add the sensor to an account associated with the premises, performing object recognition on the image, and based on the object recognition, adding the sensor to a list of sensors associated with the account.

A control device for a vehicle drive unit is configured to control, based on an operating state of a vehicle, a vehicle drive unit having one or more power sources. The control device includes a processor and a storage device. The storage device is configured to store a vehicle front-rear acceleration prediction model being a machine learning model that receives as an input a command torque and outputs predicted acceleration. The processor is configured to: execute a predicted acceleration calculation process using the vehicle front-rear acceleration prediction model; and execute a command torque calculation process to calculate the command torque that minimizes an evaluation function. The evaluation function minimizes a deviation of the predicted acceleration with respect to a target vehicle front-rear acceleration according to a target torque based on the operating state while reducing a deviation of the command torque with respect to the target torque.

Systems and methods are described that can include transmitting, from a first wearable computing device, a first ultrasound signal and receiving, by the first wearable computing device and responsive to the first ultrasound signal, a second ultrasound signal from a second wearable computing device. The method can include identifying, by the first wearable computing device, a location of the second wearable computing device with respect to a location of the first wearable computing device where the location of the second wearable computing device can be identified based on a determined time-of-flight of the first ultrasound signal. The method can include establishing a wireless connection between the first wearable computing device and the second wearable computing device where the wireless connection can be based at least in part on the identifier and the identified location associated with the second wearable computing device.

A temperature control system, adapted to a central processing unit powered by a power supply module of an electronic device, is provided. The temperature control system includes a setting module, a first temperature detecting module, a second temperature detecting module, and a power adjusting module. The setting module is configured to set a target temperature of the CPU and a target temperature of the power supply module. The first temperature detecting module is configured to obtain a detected temperature of the CPU. The second temperature detecting module is electrically connected to the power supply module, to obtain a detected temperature of the power supply module. The power adjusting module is configured to adjust a control parameter of the CPU or the power supply module based on a first temperature difference between the target temperature of the CPU and the detected temperature of the CPU or a second temperature difference between the target temperature of the power supply module and the detected temperature of the power supply module.

A demand generation platform includes a salon finding application associated with a social media, wherein an intent for finding a salon is expressed by a user on the social media. The architecture includes an intent analyzer deciphering the intent of the user, a salon service application program interface (API) finding a salon based on the intent, and a database interface responding to a request for making an appointment with the salon.

Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.

A computer may be provided on a mining machine comprising a mother board, a power supply in operable communication with the mother board, an input/output interface in communication with the mother board, and a plurality of hash boards each in communication with the mother board and comprising a plurality of mining chips. The computer may execute instructions that cause the computer to perform establishing communication with an external device, retrieving at least one profit variable from the external device, calculating an estimated profitability of a first mining chip based on the profit variable, and adjusting a chip voltage supplied to the first mining chip and adjusting a chip frequency of the first mining chip to maximize the estimated profitability. Alternatively, the instructions may cause the computer to adjust the chip voltage and the chip frequency to maintain a temperature within a predetermined range.

A Power over Ethernet (PoE) Powered Device (60) is described herein that includes an auxiliary processor (62) that negotiates a power level with a PoE Power Sourcing Equipment using a first link layer (650), means for holding the PoE Powered Device in a low power state, and a second link layer (50) that allows the main processor to communicate over the Ethernet.