4results about How to "Good statistical properties" patented technology

The invention discloses a method and a system for protecting portrait feature data of multilayer space mapping, which are used for scenes such as user portraits / article portraits and the like. According to the method, a three-layer mapping architecture of a scalar input layer (S)-a middle random layer (R)-a target output layer (C) is adopted, and multi-stage irreversible transformation processing is carried out on original scalar data. The method comprises the following steps: firstly, mapping a scalar into an intermediate vector by utilizing a one-way function of cryptography security and combining a secret key and an offset; secondly, distance features of the intermediate vector are extracted, direction features are discarded, and the distance features are converted into two-dimensional space coordinates through a deterministic mapping algorithm; according to the method, the irreversibility of reversely deducing the scalar quantity from the coordinates is ensured by erasing the angle information of the middle layer; the space isolation in different business scenes is realized by introducing the offset; according to the method, a deterministic rejection sampling algorithm based on HMAC is preferably adopted, the problem of center aggregation existing in a traditional mapping method is solved, uniform distribution of coordinates in a set area is achieved, sensitive feature value scalar quantities of all dimensions in portrait feature vectors are mapped into two-dimensional coordinate points, and the two-dimensional coordinate points are aggregated to form an object portrait feature matrix; the method is used for cross-system analysis, clustering, similar retrieval and visual display, and meanwhile plaintext feature value leakage can be avoided.

The present application relates to the technical field of material design, and particularly relates to a prediction model construction method for T 50 and T 90 in a platinum-based bimetallic catalytic material propane oxidation reaction, the present application performs weighted operation on intrinsic physicochemical parameters of an active metal content ratio as a weight to construct weighted features, removes redundant features to form a feature pool through a Pearson correlation coefficient, performs systematic evaluation on seven kinds of mechanism different regression models under a leave-one-out cross-validation framework, and selects a gradient boosting regression tree as an optimal model, performs exhaustive search screening on remaining variable features after fixing calcination temperature, calcination time and reaction atmosphere as key process features, determines an optimal feature combination composed of fixed features, active metal melting point, active metal conductivity, carrier formation energy and carrier band gap, and establishes a prediction model according to the optimal feature combination. The model of the present application is subjected to gridding virtual screening and closed-loop verification of experiments, the prediction value is highly consistent with the experimental value, and the model can replace a large number of preliminary screening experiments.

This invention relates to the fields of cryptography and generative steganography, and in particular to a generative steganography method and system based on asymmetric digital systems. In this invention, the sender and receiver agree on hyperparameters, hints, and a generation model; the hyperparameters include precision Pre and control factor sca; the sender uses a secret message m as an ANS state, and performs generative steganography on the secret message m using ANS decompression to obtain the steganographic text of the secret message m and the final ANS state; the receiver receives an embedded message and uses an ANS compression process to restore the secret message m; the embedded message includes the number of generation steps, the steganographic text, and the final ANS state. This invention, through a systematic reconstruction of ANS and the introduction of innovative mechanisms, solves the long-standing trilemma in the field of generative steganography, achieving significant results.

The application discloses a quantum random number coding spatial light modulation method, device, equipment and medium, and relates to the technical field of spatial light modulation. The quantum random coding matrix corresponding to a target coding base is converted into a driving signal suitable for a spatial light modulator, seamless adaptation of quantum random coding and spatial light modulator hardware is realized, and it is ensured that the driving signal can accurately control the spatial light modulator to randomly encode and modulate incident spatial light. The method comprises the following steps: a quantum random number generator is used as an entropy source, a verification and screening operation is performed on the original quantum random number sequence output by the quantum random number generator, and an effective quantum random number sequence is obtained; an entropy extraction operation is performed on the effective quantum random number sequence according to a set sampling number, and a target coding base is constructed; the quantum random coding matrix corresponding to the target coding base is converted into a driving signal suitable for the spatial light modulator, so that the spatial light modulator is controlled by the driving signal to randomly encode and modulate incident spatial light, and modulated light is obtained.