8 results about "Signature matrix" patented technology

The invention provides a multi-party collaborative anti-quantum signature method and system based on homomorphic Hash, and relates to the technical field of digital signatures, the system comprises a plurality of participants and a verification party, and the method is specifically as follows: each participant generates a pair of public and private keys, the public key is composed of a total public key, a total signature matrix and a total Hash matrix of all participants; based on the public and private keys, all participants perform multi-party signature on the target message through a homomorphic hash function, and a generated signature is composed of total hash challenge values of all participants, total response vectors of all participants and commitment value high-order difference values of all participants; according to the signature, the verifier recovers the high order of the total commitment value, further calculates the total hash challenge value, and verifies the validity of the signature through comparison of the total hash challenge value; according to the method, multi-user collaborative signature is realized, and the security of resisting malicious opponents under a quantum computer is obtained.

The invention relates to the technical field of charging pile detection, and discloses an AC / DC charging pile detection method, device and system, and the method comprises the following steps: S1, applying a preliminary broadband disturbance signal to a to-be-detected charging pile; s2, generating an optimized composite disturbance signal according to the sensitive frequency band characteristics; s3, synchronously applying the optimized composite disturbance signal to a to-be-tested charging pile; s4, carrying out Fourier transform on the output response; s5, constructing a dynamic response signature matrix based on the transfer function; s6, after detection, calculating the difference between the dynamic response signature matrix and the stored reference data; and S7, when the judgment result is unqualified, carrying out structured deviation analysis on the difference. According to the technical scheme, the sensitive frequency band of the system is identified through preliminary broadband disturbance, then the optimized composite disturbance signal is generated according to the sensitive frequency band, and energy is concentrated on the sensitive frequency band for accurate excitation. The detection speed and the signal-to-noise ratio are improved, and the technical effect of rapid and efficient testing is achieved.

The application discloses a non-ground network-oriented SCMA codebook design method and a communication method, and belongs to the field of Internet of Things communication. f The codebook design method comprises the following steps: sorting users in ascending order of distance between the users and the nadir point of an air base station, allocating d f power factors to each orthogonal resource, and calculating 1≤i≤d f ; generating a set P composed of K-dimensional column vectors containing N 1s and K-N 0s, dividing d f orthogonal groups from the set P, and alternately arranging the remaining column vectors with the d i orthogonal groups to form a set P'; sorting q i in ascending order of p i , replacing the ith element 1 of each row of P' with q K×J , and sorting the column vectors in P' in ascending order of column vector power sum to obtain a signature matrix F K×J ; constructing SCMA codebooks of all users based on F K×J , calculating a worst error rate, taking the minimum of the worst error rate as an optimization target, solving corresponding parameters, and obtaining the SCMA codebooks of all users. The application can solve the user unfairness problem caused by channel difference in a non-ground network and realize offline optimization of an SCMA codebook.

The present application relates to the technical field of charging pile detection, and discloses an alternating current and direct current charging pile detection method, device and system, the method comprising the following steps: S1, applying a preliminary wideband disturbance signal to a charging pile to be detected; S2, generating an optimized composite disturbance signal according to sensitive frequency band characteristics; S3, synchronously applying the optimized composite disturbance signal to the charging pile to be detected; S4, performing Fourier transform on the output response; S5, constructing a dynamic response signature matrix based on a transfer function; S6, after detection, calculating the difference between the dynamic response signature matrix and stored reference data; and S7, when it is determined that the charging pile to be detected is unqualified, performing structured deviation analysis on the difference. The present application identifies the sensitive frequency band of the system through a preliminary wideband disturbance, and then generates an optimized composite disturbance signal, thereby concentrating energy in the sensitive frequency band to accurately excite. The present application improves the detection speed and signal-to-noise ratio, and achieves the technical effect of fast and efficient testing.

The present invention relates to an infrared-millimeter wave fusion detection method and system for tunnel lining leakage, and belongs to the technical field of civil engineering detection. The method comprises: acquiring high-density millimeter wave radar data and infrared thermal imager data; performing data preprocessing to achieve spatial alignment and time synchronization; extracting topological features, performing manifold learning mapping on the preprocessed millimeter wave radar data, and constructing a topological signature matrix; performing multi-phase spectrum analysis, performing nonlinear phase space reconstruction and multi-scale entropy feature analysis on the preprocessed infrared thermal imager data, and obtaining an entropy feature map; performing probability fusion and progressive reasoning to generate a leakage area probability map through a conditional random field model and a progressive belief propagation algorithm; and finally determining the leakage area location and leakage rate. The method overcomes the limitations of a single sensor detection method, achieves high-precision detection and quantitative evaluation of tunnel lining leakage, and has technical effects such as high detection accuracy, strong environmental adaptability, and a high degree of automation.

The application provides a homomorphic hash-based multi-party cooperative anti-quantum signature method and system, relates to the technical field of digital signature, and comprises a plurality of participants and a verifier, specifically: each participant generates a pair of public and private keys, wherein the public key is composed of a total public key of all participants, a total signature matrix and a total hash matrix; based on the public and private keys, all participants perform multi-party signature on a target message through a homomorphic hash function, and the generated signature is composed of a total hash challenge value of all participants, a total response vector of all participants and a commitment value high-bit difference value of all participants; according to the signature, the verifier recovers the total commitment value high-bit, and then calculates the total hash challenge value, and through comparison of the total hash challenge value, the legality of the signature is verified; the application realizes multi-user cooperative signature, and obtains security against malicious opponents under a quantum computer.

This invention discloses a lidar loop closure detection method based on hierarchical frequency domain feature extraction. The method includes: a robot collecting point cloud data of the current driving environment using an onboard lidar sensor during its movement, acquiring original lidar point clouds, with each lidar frame corresponding to one original lidar point cloud; dividing the original lidar point cloud into multiple layers according to height, and acquiring the frequency domain signature vectors of the layered sub-point clouds; integrating all frequency domain signature vectors of the lidar frames to obtain a frequency domain signature matrix; determining loop closure constraint factors and correcting the robot pose based on the frequency domain signature matrix corresponding to the current lidar frame acquired by the robot and the frequency domain signature matrices corresponding to the lidar frames to be matched in the historical trajectory; and correcting the robot's motion behavior based on the corrected robot pose. This invention has the advantages of high loop closure detection rate, high detection accuracy, strong detection robustness, and strong real-time performance.

The invention relates to a diagnostic system (20) for diagnosing a physical system (10) comprising means for acquiring measurements (m1, m2, . . . , mS) provided by sensors (l1, l2, . . . , lS), for providing said measurements at the input of a set (22) of predictive models (M1, M2, M3, . . . , MN) each generating a fault indicator (r1, r2, r3, . . . , rN), then for determining a diagnosis of said physical system from said fault indicators and a signature matrix (24) associating diagnostics and fault indicators (r1, r2, r3, . . . , rN).