Abstract: A method for morphological identification, trajectory tracking, and velocity measurement of high-concentration microbubbles, includes collecting images of a microbubble group, performing image pre-processing, segmenting overlapped pixel blocks of the image of the microbubbles, identifying the image of the microbubbles, obtaining morphological information of each of the microbubbles, obtaining an equivalent diameter of each of the microbubbles, calculating a size distribution of the microbubbles; correlating the images of the microbubbles at two adjacent instants, and obtaining a velocity field and motion trajectory of the microbubbles. The method applies to morphological identification and correlation of high-concentration microbubbles and obtains the particle size distribution and velocity field information of the microbubbles.

Abstract: A method for morphological identification, trajectory tracking, and velocity measurement of high-concentration microbubbles, includes collecting images of a microbubble group, performing image pre-processing, segmenting overlapped pixel blocks of the image of the microbubbles, identifying the image of the microbubbles, obtaining morphological information of each of the microbubbles, obtaining an equivalent diameter of each of the microbubbles, calculating a size distribution of the microbubbles; correlating the images of the microbubbles at two adjacent instants, and obtaining a velocity field and motion trajectory of the microbubbles. The method applies to morphological identification and correlation of high-concentration microbubbles and obtains the particle size distribution and velocity field information of the microbubbles.

Abstract: A method and an apparatus for sending key-value pair data are provided, and a method and an apparatus for collecting key-value pair data are provided. In the method, first target key-value pair data is perturbed as first perturbed key-value pair data, so that a data collector can determine, based on a value a or b of a first value in the first perturbed key-value pair data, whether to include the entire first perturbed key-value pair data into the statistical result in a process of generating the statistical result. In this way, an association between a value and a key in the key-value pair data is reserved in the first perturbed key-value pair data, which improves availability of the first perturbed key-value pair data. That is, a statistical result generated by the data collector based on the first perturbed key-value pair data is closer to a statistical result generated based on original user key-value pair data.

Abstract: In a data theft prevention method, a data processing apparatus obtains target data, inputs the target data into a recognition model for recognition processing to obtain a first label, where the first label is a label to which the target data belongs. The recognition processing includes: performing, by the recognition model, feature extraction on the target data to obtain a first feature vector; and obtaining, by the recognition model, the first label through prediction based on the first feature vector; and outputs a target label when determining that a second feature vector exists. The second feature vector is a feature vector whose distance from the first feature vector is less than a first threshold. A second label obtained through prediction by using the recognition model is different from the first label and the target label is a label obtained by performing perturbation processing on the first label.

Abstract: A method and an apparatus for sending key-value pair data are provided, and a method and an apparatus for collecting key-value pair data are provided. In the method, first target key-value pair data is perturbed as first perturbed key-value pair data, so that a data collector can determine, based on a value a or b of a first value in the first perturbed key-value pair data, whether to include the entire first perturbed key-value pair data into the statistical result in a process of generating the statistical result. In this way, an association between a value and a key in the key-value pair data is reserved in the first perturbed key-value pair data, which improves availability of the first perturbed key-value pair data. That is, a statistical result generated by the data collector based on the first perturbed key-value pair data is closer to a statistical result generated based on original user key-value pair data.