5 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 present invention provides a cache information processing method, device and medium for a port platform, which belongs to the field of port distributed information processing technology. The method receives an update request, performs authentication and current limiting on the request; obtains a cache key prefix and a data structure type, routes the cache key to a shard node based on a consumption write-back event, performs a write operation in a distributed cache service and sets a lifetime and multi-copy synchronization; delivers a message body to a message middleware and obtains a delivery confirmation; pulls messages from a queue according to the configured concurrency, performs deduplication verification on the idempotence identifier of the message, and performs a data persistence operation after verifying that the message version is higher than the current version of the database; implants an indicator collection point in each module of the entire link, and visualizes the request delay, cache hit rate, and message accumulation depth indicators. The method realizes the rational allocation and optimization of system resources, ensures the consistency and integrity of data, and improves the reliability of message transmission.

The invention provides an information processing method, and relates to the technical field of artificial intelligence, in particular to the technical fields of large models, reinforcement learning, deep learning, distributed training, distributed reasoning and the like. According to the specific implementation scheme, at least one target training sample is determined according to at least one piece of problem information and at least one initial response result used for the at least one piece of problem information, and the initial response result is obtained through reasoning by a reasoning service layer through a to-be-trained model according to the problem information; providing the at least one target training sample to a training service layer, wherein the training service layer is used for determining weight update data of the to-be-trained model according to the at least one target training sample; and providing the weight update data to an inference service layer. The invention further provides a distributed information processing system and device, electronic equipment and a storage medium.

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.

Aspects of the present disclosure relate to coordination. According to one aspect, an apparatus includes a plurality of slices, where each slice of the plurality of slices is configured for distributed information processing; and a plurality of dedicated data buses, where each of the plurality of slices is coupled to one of the plurality of dedicated data buses, and each of the plurality of slices is configured for local coordination of distributed information processing.