Abstract: Implementations of this specification provide prediction methods and apparatuses for adjusting computing power. One method comprises receiving a prediction request, wherein the prediction request comprises a sample to be tested, determining a computing power coefficient allocated to the prediction request, wherein the computing power coefficient indicates a proportion of hardware computing power resources allocated to the prediction request to total hardware computing power resources needed for a neural network model to run on a computing platform, determining k sub-networks inn sub-networks of the neural network model to be used for a present time based on the computing power coefficient, where n>2, and inputting the sample to be tested to the k sub-networks to obtain a prediction result.

Abstract: The present disclosure provides a control system of a buck converter, relating to the field of Internet of Things. The control system of a buck converter provided in an embodiment of the present disclosure includes a first control module, a second control module, and a mode selector. The first control module is turned on and the second control module is turned off through an analog current sensor in the mode selector when an IoT device switches from a transmission mode to a sleep mode or a standby mode, so that the first control module outputs a first voltage pulse to the driving and level shifter module, wherein a frequency of the first voltage pulse is determined by a frequency of a first clock in the first control module, and a width of the first voltage pulse is determined by a frequency of a second clock in the first control module.

Abstract: The present disclosure provides a control system of a buck converter, relating to the field of Internet of Things. The control system of a buck converter provided in an embodiment of the present disclosure includes a first control module, a second control module, and a mode selector. The first control module is turned on and the second control module is turned off through an analog current sensor in the mode selector when an IoT device switches from a transmission mode to a sleep mode or a standby mode, so that the first control module outputs a first voltage pulse to the driving and level shifter module, wherein a frequency of the first voltage pulse is determined by a frequency of a first clock in the first control module, and a width of the first voltage pulse is determined by a frequency of a second clock in the first control module.

Abstract: A face image processing method includes: performing face detection on a to-be-processed image, to obtain at least one face region image included in the to-be-processed image and face key point information in the at least one face region image; and processing, for the at least one face region image, an image corresponding to a first region and/or an image corresponding to a second region in the face region image at least according to the face key point information in the face region image, wherein the image corresponding to the second region and the image corresponding to the first region are at least partially non-overlapping.

Abstract: A face image processing method includes: performing face detection on a to-be-processed image, to obtain at least one face region image included in the to-be-processed image and face key point information in the at least one face region image; and processing, for the at least one face region image, an image corresponding to a first region and/or an image corresponding to a second region in the face region image at least according to the face key point information in the face region image, wherein the image corresponding to the second region and the image corresponding to the first region are at least partially non-overlapping.