4results about How to "Strong certainty" patented technology

This application relates to a hardware scheduling device, task scheduling method, system, chip, and electronic device. The hardware scheduling device includes on-chip memory, multiple hardware processing units, and an arbitrator. The multiple hardware processing units are all connected to the on-chip memory and are used to read scheduling instructions from the on-chip memory and send scheduling instructions. The scheduling instructions are used to schedule a subsystem in an image signal processor, so that the subsystem responds to the scheduling instructions and processes the corresponding task. The arbitrator is connected between each hardware processing unit and the image signal processor, and is used to arbitrate the scheduling instructions received simultaneously from each hardware processing unit, determine the target scheduling instruction, and send the target scheduling instruction to the image signal processor via a transmission bus. Using the above-mentioned hardware scheduling device, the entire scheduling process is completed in hardware, the scheduling delay has a high degree of determinism, effectively reducing the communication delay of signal reception and transmission, and meeting the requirements of real-time tasks.

The invention discloses a hybrid architecture semantic restoration method and device based on a DFA and a large language model, and relates to the technical field of semantic restoration, the method comprises the following steps: receiving an original power text sequence, loading a terminology benchmark library, and carrying out full scanning based on the DFA to output a candidate anchor point set; locking the candidate anchor point set, extracting a context feature window of each anchor point, and calculating a semantic coupling probability of each anchor point and a context in the context feature window; determining a repair path between each anchor point and a context in the context feature window based on the semantic coupling probability, and performing semantic repair on each anchor point and the context based on the repair path to obtain a corresponding standardized term fragment; and integrating the standardized term fragments to form a complete standardized text sequence corresponding to the original power text sequence. According to the invention, the problem of low accuracy and efficiency during conversion from a spoken text to a standardized term in the prior art is solved.

The application discloses a kind of gulf nutrient salt pollution treatment multi-objective robust optimization method, comprising the following steps: S1, using Sobol variance analysis method carries out global sensitivity analysis, and sets threshold to filter out high sensitive parameter;S2, to high sensitive parameter adopts Latin hypercube sampling method to generate multiple disturbance scene parameter combination, and unified disturbance sample space is constructed;S3, the multi-objective optimization model of nutrient salt pollution treatment is constructed, and the optimization of water quality and the minimum goal of treatment cost are clear;S4, call NSGA-II algorithm respectively solves multi-objective optimization problem, obtains Pareto solution set under different disturbance scene;S5, calculate the expected value, standard deviation and gradient change rate under decision disturbance of each solution under representative disturbance sample;S6, the robustness of each candidate solution is evaluated to obtain representative solution set;S7, test the objective function response performance of each representative solution in non-original disturbance scene;S8, output the optimal scheme of gulf nutrient salt pollution treatment in river basin.

This application discloses an intelligent selection method for manufacturing process templates based on field matching and directed graph judgment, comprising: acquiring key attribute information of the task to be produced; traversing the process template library, comparing the types and quantities of input fields provided by the task with the predefined required fields of each template, and filtering out a set of candidate templates with matching fields; when the number of candidate templates is greater than one, acquiring a preset directed graph corresponding to each candidate template, wherein the directed graph contains judgment nodes and directed paths terminating at template nodes; solving for the output values ​​of each judgment node in the directed graph based on the key attribute information, and determining the template activation status based on the output values ​​of all judgment nodes on the directed path; and finally determining and outputting a unique process template from the set of candidate templates. This invention achieves automatic and accurate selection of process templates through a dual filtering mechanism of field matching and directed graph logical judgment, improving the efficiency of process preparation and the flexibility of rule configuration.