Abstract: The present disclosure discloses a method and an apparatus for generating a vector representation of a knowledge graph, and relates to a field of a field of artificial intelligence technologies. The detailed implementing solution is: obtaining a knowledge graph, the knowledge graph including a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes by a context model based on the context data and the context type.

Abstract: A monitoring system based on a digital converter station includes a first monitoring terminal deployed at a first-level monitoring side, a second monitoring terminal deployed at a second-level monitoring side, and a third monitoring terminal deployed at a third-level monitoring side; the monitoring terminal at each level includes a communication module, a human-machine interaction module, a device status monitoring module, a device alarm management module, a video fusion processing module, and a data transmission adjustment and control module.

Abstract: Described herein is a reconfigurable asymmetrical load-modulated balanced amplifier. The reconfigurable asymmetrical load-modulated balanced amplifier can include a radio frequency (RF) input port, an RF output port, a peaking amplifier circuit operably coupled between the RF input and RF output ports, where the peaking amplifier circuit is a balanced amplifier that comprises a pair of asymmetrical power amplifiers, and a carrier amplifier circuit operably coupled to the RF input port.