Abstract: The present invention relates to a device for testing the rotation speed of a rotor assembly, and belongs to the technical field of rotor assemblies. The device comprises a base on which a workpiece support station for horizontal placement of a rotor assembly is provided. A speed measurement element for measuring the rotation speed of the rotor shaft is indirectly or directly fixed on the base. A driving component for driving the rotor shaft to rotate is provided on one horizontal side of the workpiece support station. The driving component comprises an air inlet seat and an impeller. A rotating groove for allowing to the impeller to rotate therein is formed at the end of the air inlet seat facing the workpiece support station. An opening for allowing the impeller to enter therein is formed at the end of the rotating groove, and the outer circumferential side of the rotating groove is communicated with air inlet ages communicated with an external air source.

Abstract: Examples direct current-direct current (DC-DC) converter are described. One example DC-DC converter includes three ports and a switch capacitor (SC) circuit. A first port and a second port are input and output ports, and a third port is grounded. The SC circuit includes three capacitors and eight switching transistors. A connection relationship between the three capacitors and eight switching transistors determines that an end of one capacitor in the three capacitors is grounded, and the other two capacitors are connected between the switching transistors.

Abstract: This application discloses an electronic device. The electronic device includes: a SAR sensor, where the SAR sensor includes a first detection channel and a second detection channel; and a first antenna electrode and a second antenna electrode, where the first antenna electrode is connected to the SAR sensor through the first detection channel, the second antenna electrode is connected to the SAR sensor through the second detection channel, and the SAR sensor determines a distance between the electronic device and a human body by using a signal of the first antenna electrode and/or a signal of the second antenna electrode; where an adjustment path is disposed between the first antenna electrode and the second antenna electrode, and the adjustment path is configured to adjust a connection status between the first antenna electrode and the second antenna electrode.

Abstract: Methods are disclosed for generating a training dataset of concealed shapes and corresponding unveiled shapes of a body for training a neural network. These methods may include generating with the aid of computing means a first dataset comprising a plurality of first surface representations representative of a plurality of bare shapes of a plurality of bodies. The plurality of bare shapes are concealed virtually by means of a computer implemented program in order to obtain a plurality of simulated concealed shapes of the plurality of bodies. The plurality of simulated concealed shapes are applied to a scanning simulator, the scanning simulator generating a second dataset comprising a plurality of second surface representations representative of the plurality of simulated concealed shapes.

Abstract: Methods are disclosed for generating a training dataset of concealed shapes and corresponding unveiled shapes of a body for training a neural network. These methods may include generating with the aid of computing means a first dataset comprising a plurality of first surface representations representative of a plurality of bare shapes of a plurality of bodies. The plurality of bare shapes are concealed virtually by means of a computer implemented program in order to obtain a plurality of simulated concealed shapes of the plurality of bodies. The plurality of simulated concealed shapes are applied to a scanning simulator, the scanning simulator generating a second dataset comprising a plurality of second surface representations representative of the plurality of simulated concealed shapes.

Abstract: Methods are disclosed for generating a training dataset of concealed shapes and corresponding unveiled shapes of a body for training a neural network. These methods may include generating with the aid of computing means a first dataset comprising a plurality of first surface representations representative of a plurality of bare shapes of a plurality of bodies. The plurality of bare shapes are concealed virtually by means of a computer implemented program in order to obtain a plurality of simulated concealed shapes of the plurality of bodies. The plurality of simulated concealed shapes are applied to a scanning simulator, the scanning simulator generating a second dataset comprising a plurality of second surface representations representative of the plurality of simulated concealed shapes.