5results about How to "Solve computing problems" patented technology

The embodiment of the invention provides a proof chain generation method and device, equipment, a storage medium and a program product, and relates to the field of financial science and technology or other related fields. The method comprises the following steps: acquiring network performance data and transaction characteristics of each participating object in a plurality of participating objects; determining a plurality of verification groups according to the network performance data and the transaction characteristics of each participating object, the verification groups comprising at least one participating object in the plurality of participating objects; for any verification group, performing encryption processing on transaction data corresponding to each participating object in the verification group, and generating an encryption intermediate result corresponding to the verification group; and based on the encryption intermediate result corresponding to each verification group, generating a cryptographic proof chain corresponding to the plurality of participating objects. According to the method, the reliability of data storage is improved.

A distribution method for improving remote sensing constellation target capacity through three-dimensional coordinate different-satellite fusion comprises the steps that two-dimensional coordinates of the same observation target group are generated on two task satellites executing an observation task, and three-dimensional coordinate fusion and numbering sorting are carried out based on the two-dimensional coordinates; distributing the two-dimensional coordinates which are not fused to the satellites which do not execute the observation task according to the upper limit of the capability of calculating the three-dimensional coordinates by the satellites, and performing three-dimensional coordinate fusion by the satellites which do not execute the observation task by receiving the two-dimensional coordinates which are sent by the two satellites and have the same serial number. After the two-dimensional coordinates are successfully fused in the upper limit range of the capability of calculating the three-dimensional coordinates, the two-dimensional coordinates are sent back to the task satellite, the part exceeding the upper limit range of the capability of calculating the three-dimensional coordinates is sent to another satellite which does not execute the observation task, and so on until all the two-dimensional coordinates are fused, and the target tracking capacity of the satellite is increased. The method overcomes the limitation of the calculation capability of the existing single satellite, and provides a mode that the satellites networked in the stationary orbit do not need to interact through a fixed rule.

This invention discloses a method and device for constructing a cross-island heterogeneous federated learning system based on homomorphic encryption. After local training on the client, the local model is packaged and sparsified at the packet granularity. The sparsed packet data is homomorphically encrypted, and the ciphertext and mask are sent to a parameter server. The parameter server aggregates the data according to the client's ciphertext weights and sends the aggregated ciphertext global model and mask to the client. The client decrypts the global ciphertext and unpacks it to obtain the global model, and updates its local model. The client calculates and returns a sketch of its local model. By clustering the sketch, the fastest client in each cluster is selected as a participant in the next round of training, and the contribution is calculated based on the sketch to obtain the aggregation weights for the next round. The trained local model is then applied to the cross-island heterogeneous federated learning system. This invention can improve the efficiency of homomorphic encryption while protecting privacy, and simultaneously resist the negative impact of lagging on model synchronization.

The present application provides a unified permeability directional solidification hot crack sensitivity criterion derivation method, and the method is specifically as follows: a directional solidification multi-region unified permeability calculation model is established, and the mass conservation equation and the Darcy equation are coupled, that is, the present application realizes the unified calculation of the permeability under different dendrite morphologies, and the calculation result is closer to the flow field simulation result in the numerical value; compared with the prediction result of the traditional RDG criterion, the pressure drop order of magnitude closer to the actual cracking of the liquid film is obtained; under different grain boundary energies and grain sizes, the curve morphology is close to the test result, and the double-peak effect in the hot crack sensitivity evaluation test is reproduced by the numerical simulation for the first time.

This invention provides a prediction model, method, and device for wellhead backpressure waves and their velocities. The prediction method includes: S1, determining the liquid type and flow state of the single-phase fluid in the annulus; S2, determining the starting time T to be calculated. a Termination time T b The initial depth h of the medium k liquid section k,a Termination depth h k,b Initial flow Q k and initial back pressure P k0 S3. Discretize the computational domain in time and space to form X×Y grid nodes, where X=((T b -T a ) / Δt)+1,Y=((h k,b -h k,a ) / Δz)+1, calculate the position of a point in the region at time t j The spatial coordinates at time (t) j , z i S4. Based on the prediction model of the annular pressure field, all positions in the annular liquid phase section are obtained through iterative calculation at T. a ~T b Pressure values ​​within a time period. This invention uses a discretization method to iteratively calculate the pressure values ​​at all discrete points of the single-phase liquid within the annulus, ensuring the accuracy of annular pressure wave prediction.