4results about How to "Quick automatic identification" patented technology

The utility model discloses a kind of compressor identification detection structure and breast machine for breast machine.The described compressor identification detection structure includes photoelectric detection module and compressor, the photoelectric detection module is installed in the installation port, the compressor is provided with the lead-in seat compatible with the installation port, the lead-in seat is provided with locking module and detection identification board, the locking module is locked in the installation port when the lead-in seat is inserted into the installation port, the detection identification board is detected by the photoelectric detection module when the lead-in seat is inserted into the installation port;Breast machine includes breast machine host, the breast machine host is provided with riser and bearing table, the bearing table is located below the riser, the riser is provided with installation port, the installation port is provided with the described identification detection structure, and the breast machine host is electrically connected with remote control system. The utility model is applied to the technical field of breast machine.

This invention discloses a method and system for detecting social media rumors based on the BLRQ-BV model, belonging to the technical field of social media content security and information authenticity identification. It includes: encoding each rumor event as a whole into a text modality and a grayscale image modality, constructing a bimodal data representation that maintains semantic integrity; using a BiLSTM network to extract sequence features from the text, employing a specially designed low-discrimination-information-loss quantum hybrid network LIL-QHN to extract quantum features from the text, and using a ResNet-18 network to extract visual structural features from the grayscale image; losslessly fusing the three modal features through an innovative spherical spatial vector synthesis method VC-BS, preserving the feature strength and directional relationships; and introducing a joint loss function to collaboratively optimize each branch, ultimately achieving end-to-end rumor detection. This invention can robustly achieve automatic identification of social media rumors and is applicable to scenarios such as network content security management, public opinion monitoring and early warning, and digital forensics.

This invention relates to the field of sensor connectivity technology, and discloses a method, apparatus, and computer device for connecting a sensor to a data acquisition and storage medium. The method includes: acquiring a sensor with independent identification information and configuring multiple candidate connection interfaces of the data acquisition and storage medium to obtain multiple connection interfaces with unified attributes; physically connecting the sensor to any one of the connection interfaces with unified attributes in the data acquisition and storage medium to obtain an initial connection state; using target recognition technology for identification to obtain identification information; performing sensor information calibration and generating a data acquisition scheme, which is used to acquire physical change data of valve operation and store the physical change data through the data acquisition and storage medium. This invention is applied to the field of valve diagnosis, possessing a reliable and convenient sensor information management mechanism, a highly convenient sensor usage mechanism, a unified and extremely broad backup interface strategy, and compatibility with more types of sensors.

The application discloses a kind of based on deep learning multi-beam radio frequency OAM positioning identification method and system, the method and system use optical orbital angular momentum as the basis of pre-training, using pre-training weight information trains radio frequency orbital angular momentum image, and realizes the positioning and identification function of radio frequency orbital angular momentum.The trained deep learning model of the application can automatically identify the real radio frequency orbital angular momentum image received in real time, without manual discrimination, thereby simplifying the operation process of technical personnel.The application reduces the training time, realizes the automation of identification, improves the spectrum utilization, and helps the demultiplexing system of radio frequency OAM system.