Abstract: A method for reinforcing soft ground by post-grouting combined with pressurized vacuum preloading is proposed, by pre-burying prefabricated vertical drains and air-boosted pipes in granular material piles, and the air-boosted pipes are used as grouting pipes to reduce the number of times of piling, which not only improves the construction efficiency, but also reduces the structural disturbance of the soil and the influence of smear effect, thus reducing the impact on the radial permeability and the radial consolidation coefficients. The method does not use geotextile bags for granular materials, which can avoid the problem of forming a localized clogging area around the geotextile bags, and the method not only improves the efficiency of vacuum transfer in a pre-consolidation stage, but also improves the grouting effect in the later stage, effectively enhances the strength of soft soil and makes granular material piles and the surrounding soil form composite ground.

Abstract: A method includes receiving a training dataset that includes one or more spoken training utterances for training an automatic speech recognition (ASR) model. Each spoken training utterance in the training dataset paired with a corresponding transcription and a corresponding target sequence of auxiliary tokens. For each spoken training utterance, the method includes generating a speech recognition hypothesis for a corresponding spoken training utterance, determining a speech recognition loss based on the speech recognition hypothesis and the corresponding transcription, generating a predicted auxiliary token for the corresponding spoken training utterance, and determining an auxiliary task loss based on the predicted auxiliary token and the corresponding target sequence of auxiliary tokens. The method also includes the ASR model jointly on the speech recognition loss and the auxiliary task loss determined for each spoken training utterance.

Abstract: A method for reinforcing soft ground by post-grouting combined with pressurized vacuum preloading is proposed, by pre-burying prefabricated vertical drains and air-boosted pipes in granular material piles, and the air-boosted pipes are used as grouting pipes to reduce the number of times of piling, which not only improves the construction efficiency, but also reduces the structural disturbance of the soil and the influence of smear effect, thus reducing the impact on the radial permeability and the radial consolidation coefficients. The method does not use geotextile bags for granular materials, which can avoid the problem of forming a localized clogging area around the geotextile bags, and the method not only improves the efficiency of vacuum transfer in a pre-consolidation stage, but also improves the grouting effect in the later stage, effectively enhances the strength of soft soil and makes granular material piles and the surrounding soil form composite ground.

Abstract: A method and a system for detecting a logic level of a rotor of a motor, and a motor are disclosed. The method comprises: obtaining an analog voltage output by a position sensor for a winding of the motor; setting a first commutation voltage and a second commutation voltage; generating a logic level according to the analog voltage, the first commutation voltage and the second commutation voltage; and performing angle correction on the logic level according to a first angle corresponding to the first commutation voltage and a second angle corresponding to the second commutation voltage. The first commutation voltage is a commutation voltage for triggering a rising edge, and the second commutation voltage is a commutation voltage for triggering a falling edge. This method may accurately identify the logic level corresponding to the motor rotor, improve uniformity of a commutation voltage and prevent fluctuations in motor speed.

Abstract: A method and a system for detecting a logic level of a rotor of a motor, and a motor are disclosed. The method comprises: obtaining an analog voltage output by a position sensor for a winding of the motor; setting a first commutation voltage and a second commutation voltage; generating a logic level according to the analog voltage, the first commutation voltage and the second commutation voltage; and performing angle correction on the logic level according to a first angle corresponding to the first commutation voltage and a second angle corresponding to the second commutation voltage. The first commutation voltage is a commutation voltage for triggering a rising edge, and the second commutation voltage is a commutation voltage for triggering a falling edge. This method may accurately identify the logic level corresponding to the motor rotor, improve uniformity of a commutation voltage and prevent fluctuations in motor speed.