Abstract: A method for preparing bio-active particles by spray drying, liquid nitrogen quick-freezing, and vacuum freeze drying includes the following steps: transporting a feed liquid into a preheated spray tower, wherein the feed liquid forms liquid droplets after being atomized by an atomizer in the spray tower, dispersing air is introduced into a top of the spray tower, and the dispersing air disperses the atomized liquid droplets; introducing hot air into the top of the spray tower, wherein the liquid droplets are partially formed into dry-like particles after being dried by the hot air, the surface dried particles fall, through a bottom of the spray tower, into a cooling pool arranged under the spray tower, and the particles, after being frozen, are transferred to a freeze drying device for freeze drying.

Abstract: The present disclosure discloses a smart speaker wake-up method, a smart speaker wake-up device, a smart speaker and a storage medium, relates to the technical field of speech recognition. The method of the present disclosure is applied to a wireless network including two or more smart speakers, and a specific implementation thereof is: receiving, speech information including a wake-up word; performing a recognition processing to the speech information to obtain identification information corresponding to the wake-up word; and waking up one smart speaker in the wireless network to enter listening state according to the identification information. The present disclosure may be applied to a scenario where multiple smart speakers coexist, so as to quickly select one smart speaker that is most likely to be wakened, avoiding a chaotic speech interaction caused by multiple smart speakers being wakened simultaneously, improving efficiency and quality of speech interaction and achieving better user experience.

Abstract: A method for the scheme design of shear wall structure based on a generative adversarial network includes: obtaining an architectural drawing; extracting key elements from the architectural drawing, coding the key elements by colors, and generating image features; inputting the image features into a pre-trained structural-design-oriented generative adversarial network model for processing to generate a structural drawing.

Abstract: The present disclosure discloses a smart speaker wake-up method, a smart speaker wake-up device, a smart speaker and a storage medium, relates to the technical field of speech recognition. The method of the present disclosure is applied to a wireless network including two or more smart speakers, and a specific implementation thereof is: receiving, speech information including a wake-up word; performing a recognition processing to the speech information to obtain identification information corresponding to the wake-up word; and waking up one smart speaker in the wireless network to enter listening state according to the identification information. The present disclosure may be applied to a scenario where multiple smart speakers coexist, so as to quickly select one smart speaker that is most likely to be wakened, avoiding a chaotic speech interaction caused by multiple smart speakers being wakened simultaneously, improving efficiency and quality of speech interaction and achieving better user experience.