Abstract: A timing control circuit is applied to the in-vehicle center console, and includes a hub, a first resistor, a capacitor, and a voltage conversion circuit. The hub is configured to be coupled to an on board unit, and a power supply control terminal of the hub is coupled to a first terminal of the first resistor. A second terminal of the first resistor is coupled to a first terminal of the capacitor and an input terminal of the voltage conversion circuit, a second terminal of the capacitor is grounded, and an output terminal of the voltage conversion circuit is used to connect an external device.

Abstract: A timing control circuit is applied to the in-vehicle center console, and includes a hub, a first resistor, a capacitor, and a voltage conversion circuit. The hub is configured to be coupled to an on board unit, and a power supply control terminal of the hub is coupled to a first terminal of the first resistor. A second terminal of the first resistor is coupled to a first terminal of the capacitor and an input terminal of the voltage conversion circuit, a second terminal of the capacitor is grounded, and an output terminal of the voltage conversion circuit is used to connect an external device.

Abstract: A method, a system and an electronic device for processing audio-visual data. In the method, a first dataset is obtained, where the first dataset includes several data pairs, and each of the data pairs in the first dataset includes a video frame and an audio clip that match each other. A multi-channel feature extraction network model is established to extract the visual features of each video frame and the auditory features of each audio clip in the first dataset. A contrastive loss function model is established using the extracted visual features and the auditory features to train the multi-channel feature extraction network. A classifier is established to determine whether an input audio-visual data pair is matched.

Abstract: A method, a system and an electronic device for processing audio-visual data. In the method, a first dataset is obtained, where the first dataset includes several data pairs, and each of the data pairs in the first dataset includes a video frame and an audio clip that match each other. A multi-channel feature extraction network model is established to extract the visual features of each video frame and the auditory features of each audio clip in the first dataset. A contrastive loss function model is established using the extracted visual features and the auditory features to train the multi-channel feature extraction network. A classifier is established to determine whether an input audio-visual data pair is matched.

Abstract: Provided are a method and apparatus for estimating a meteorology sensitive load power. The method includes: obtaining a meteorology sensitive load power estimation model; inputting a daily load curve of a date to be estimated to the meteorology sensitive load power estimation model and extracting a daily load curve dimension reduction feature of the date to be estimated; and outputting a meteorology sensitive load power based on the daily load curve dimension reduction feature of the date to be estimated and mapping relationships from daily load curve dimension reduction features onto meteorology sensitive load powers. The proposed estimation model can directly obtain the meteorology sensitive load power curve from the daily load curve, and is especially applicable to cases where meteorology data is frequently lost in practical applications.

Abstract: Provided is a method of gap closing in nucleotide sequence. The nucleic acid sequence comprises a first contig at one end of a gap in an unassembled region, and a second contig at the other end of the gap in the unassembled region.