2 results about "Distributed information processing" patented technology

The invention discloses an automatic driving safety state estimation method and system based on statistical similarity, and the method comprises the steps: firstly constructing a sensor network for sensing the two-dimensional position information and speed information of a moving target: building a system state equation and an observation equation based on the dynamic characteristics of a target vehicle; constructing a local optimization objective function on each distributed node, deducing a local posteriori mean value and covariance update formula, and realizing high-precision state estimation of a two-dimensional target; an alternating direction multiplier method is adopted as a distributed information processing strategy, consistency constraint conditions are introduced, estimation result fusion and global state consistency estimation between nodes are achieved, and vehicle safety state estimation is completed. According to the method, high-precision state estimation and fusion of the two-dimensional target can be realized in a complex environment of non-Gaussian noise and hostile attack, the state estimation precision and the system robustness of the automatic driving vehicle are improved, and the method has a relatively high engineering application value.

The application discloses a distributed architecture driven cross-platform medical information processing method and system, relates to the related technical field of medical data processing, and comprises the following steps: constructing a distributed information processing network, integrating heterogeneous nodes of multiple medical information platforms, and collecting multi-modal medical data from different medical information platforms connected in real time; after standardization processing, the medical data is transmitted and stored by using a distributed message middleware; a medical analysis sample data is extracted by a data analysis node, a data mining task is cooperated based on a federal learning framework, a data mining result is generated, and a visual decision support report is aggregated. The technical problems of the prior art that cross-platform medical data is difficult to fuse and interwork, centralized architecture processing capacity is insufficient, and sensitive data sharing exists privacy security risks are solved, and the technical effects of improving the real-time performance and efficiency of medical data processing, guaranteeing data privacy security, and enhancing the accuracy and comprehensiveness of clinical decision support are achieved.