8results about How to "Avoid resource competition" patented technology

The embodiment of the application provides a kind of data transmission method, system of vehicle, vehicle and readable storage medium, the method comprises: the functional data stream of vehicle is collected, wherein, functional data stream is used to execute the driving control function of vehicle;Based on the data type of functional data stream, the data transmission strategy of functional data stream is determined, wherein, data type is used to characterize driving control function and vehicle's driving safety performance is associated, or, driving control function and vehicle's operation performance is associated, data transmission strategy is used to characterize the rule of transmission functional data stream by different data transmission channel;According to data transmission strategy, functional data stream is transmitted to cloud, wherein, functional data stream is aggregated by cloud according to the data type of functional data stream, and the running state of vehicle is used to make remote cockpit determine aggregated functional data stream.The application solves the technical problem of low communication reliability of vehicle in the related art.

The invention relates to a ZYNQ-based multichannel AD9361 controller and a control method, and relates to the technical field of digital signal processing. Comprising an ARM processing system and a programmable logic system, and a controller module and a signal processing algorithm module are arranged in the programmable logic system; the controller module comprises an AD9361 controller 1 arranged in the ARM processing system, and an AD9361 controller 2, an arbiter, an AXI controller and a data distributor which are arranged in the programmable logic system, and further comprises independent SPI interfaces and independent GPIO interfaces which are in one-to-one correspondence with the AD9361 chips; the AD9361 controller 1 and the AD9361 controller 2 apply for a data transmission control right to the arbiter according to a control demand; each independent SPI interface and each independent GPIO interface are respectively connected with an SPI pin and a GPIO pin of the corresponding AD9361 chip; the ARM processing system and the programmable logic system are interconnected through an AXI bus. The circuit can be externally connected with a plurality of AD9361 chips, and supports multi-channel parallel control.

This invention relates to the field of task scheduling technology, specifically to a multi-task processing method and system based on a large model, comprising the following steps: extracting resource parameters using a large model to generate a conflict intensity matrix, screening resource-overlapping node pairs, determining structural conflicts, constructing a dependency graph to calculate complexity scores and prune dense regions, extracting high-frequency paths to divide scheduling units, and generating a task priority sequence. In this invention, by constructing a conflict intensity matrix and combining node clustering features to identify task resource conflict relationships, the sensitivity and accuracy of task partitioning to resource distribution are improved. Nodes are divided into upper and lower bounds based on median deviation, and structural optimization and reorganization are achieved by combining resource type dissimilarity rates. Path depth and branch factors constitute the basis for complexity scoring. Weights are dynamically adjusted based on occupancy time to identify pruning dense regions. The most frequently called paths constitute the main path set. Non-main path tasks are divided according to node coverage relationships, enhancing the clarity of scheduling boundaries and resource isolation capabilities.

A method, apparatus, system, electronic device, and medium for controlling an application service instance are disclosed. The application service instance is deployed in a container and can act as a message consumer to receive messages pushed by a message middleware. The method includes: when the container is created in response to a scaling instruction, listening for a startup completion event of the application service instance; after listening for the startup completion event, establishing a connection between the application service instance and the message middleware, so that the application service instance begins to receive and process messages pushed by the message middleware; when the container enters a destruction process in response to a scaling instruction, disconnecting the connection between the application service instance and the message middleware, so that the application service instance stops receiving messages pushed by the message middleware; and destroying the application service instance after the connection between the application service instance and the message middleware is disconnected.

The invention provides a dual-system fingerprint service method and device, and is applied to the technical field of fingerprint identification, the dual-system fingerprint service method is applied to a terminal device, the terminal device is provided with a first system and a second system, and the ROOT domain of the terminal device is configured with a fingerprint identification component. The fingerprint identification component is associated with a fingerprint hardware resource of the terminal equipment, and the first system and the second system share the fingerprint identification component; the method comprises the following steps: when a foreground system monitors a fingerprint operation request, the foreground system calls a fingerprint identification component to respond to the fingerprint operation request. The system stability and the system switching efficiency of the terminal equipment can be improved.

A processor and electronic equipment are applied to the field of data processing. The processor includes a scaling factor processing module including a smoothing pre-processing unit configured to receive the first tensor, the second tensor, and a smoothing control parameter, and a processing unit configured to process the first tensor and the second tensor by a plurality of arithmetic logic units and special function units in the processor. Executing smoothing operation of the first tensor and the second tensor to obtain a third tensor and a fourth tensor; the processing unit is configured to determine scaling factors of the third tensor and the fourth tensor and execute matrix multiplication and accumulation operation using the scaling factors based on the scaling factors of the third tensor and the fourth tensor to obtain a matrix multiplication operation result. The processor provides efficient smoothing preprocessing hardware, the processing does not need to be executed in special hardware devices such as a vector core, hardware-level efficient execution of smoothing preprocessing is achieved, hardware resource scheduling overhead and calculation delay are effectively reduced, and hardware execution efficiency is improved.

The embodiment of the invention provides a data transmission method, system and device under a multi-NUMA architecture, a medium and a program product, and relates to the technical field of network security. According to the embodiment of the invention, the multi-NUMA architecture is established by additionally arranging the programmable logic device, and under the multi-MUMA architecture, the programmable logic device is utilized to receive the first data message from the first network interface in the plurality of network interfaces; and writing the first data message and the interface information of the first network interface into a memory in the target NUMA node through an I / O channel corresponding to the target NUMA node, the CPU in the target NUMA node determines a second network interface in the plurality of network interfaces according to the interface information of the first network interface, and sends the first data message to the second network interface according to the interface information of the second network interface after receiving the first data message and the interface information of the second network interface from the target NUMA node; the data transmission efficiency under the multi-NUMA architecture can be improved.

This application discloses a memory management method, system, device, and medium for long-term health dialogue scenarios, relating to the fields of intelligent dialogue and medical memory management technology. This application perceives historical dialogue data, extracts dialogue intent features, health need features, interaction frequency features, medical entity features, and health time features, calculates a value quantification score, and performs layered compression processing on long-term health memories (dialogue memory units) based on the value quantification score, achieving lossless retention of high-value core memories and precise removal of redundant information; simultaneously, it adopts an asynchronous batch processing mode independent of the dialogue response process to achieve incremental updates of new health memories, avoiding resource competition between memory updates and dialogue responses. This application can significantly reduce system storage overhead and computational load, shorten dialogue response latency, and adapt to long-term, multi-turn health interaction scenarios between medical intelligent agents and users, while ensuring the accuracy and continuity of health memories.