5results about How to "Improve resource scheduling efficiency" patented technology

This invention provides a method and related equipment for generating digital human videos based on the Ascend AI processor, optimizing digital human synthesis efficiency through dynamic resource scheduling and task splitting mechanisms. The method includes: after a user submits a task, a task forwarding service performs sensitive word detection and generates synthesized audio; the main video synthesis service dynamically adjusts its deployment based on Ascend AI processor resources, splitting the task into sub-tasks and distributing them to sub-services; frame integrity verification ensures synthesis quality, and finally, the video is generated and stored. This invention significantly improves resource utilization and task execution reliability, making it suitable for large-scale digital human video generation scenarios.

This application discloses a resource scheduling method, apparatus, electronic device, and medium, belonging to the field of network resource scheduling technology. The method includes: acquiring energy consumption data, latency data, and load data from multiple servers, wherein the first server includes a cloud server and an edge server; inputting the energy consumption data, latency data, and load data into a preset resource scheduling model, and outputting multiple system data of the resource scheduling system composed of the multiple servers; inputting the multiple system data into a preset deep learning model, and outputting response data corresponding to the resource scheduling system to represent the network environment's response to the state; the deep learning model is a model combining a time-recurrent neural network and an attention mechanism; and scheduling the network resources of the multiple servers based on the response data. The embodiments of this application employ a resource scheduling model and a deep learning model to improve resource scheduling efficiency.

The embodiment of the invention discloses a resource scheduling method, device and equipment, and the method comprises the steps: receiving a resource scheduling request for a to-be-constructed target communication project, determining a to-be-scheduled region corresponding to the target communication project in response to the resource scheduling request, and obtaining the schedulable resource information of the to-be-scheduled region, and determining a plurality of candidate scheduling strategies and action values corresponding to the candidate scheduling strategies based on schedulable resource information by using a pre-trained decision model based on importance weights determined based on the resource quantity and / or position information of the to-be-scheduled region, and determining the action values corresponding to the candidate scheduling strategies based on the importance weights of the to-be-scheduled region. And adjusting the action values corresponding to the candidate scheduling strategies, determining a target scheduling strategy from the candidate scheduling strategies based on the adjusted action values, and performing resource scheduling processing on the target communication project based on the target scheduling strategy.

This paper relates to the field of refined oil resource scheduling technology, and provides a method, apparatus, equipment, and storage medium for refined oil resource scheduling. The method includes: using a simulator to simulate the scheduling scheme for the first sub-cycle of the current cycle based on the node parameters of each node, to obtain the inventory level and sub-cycle reward value of each node at the end of the first sub-cycle; using a deep reinforcement learning module to predict the target inventory level of each node at the end of the first sub-cycle of the next cycle based on the inventory level, sub-cycle reward value, and scheme penalty value of the current cycle, with the second sub-cycle of the current cycle as the first sub-cycle of the next cycle; using a mathematical programming module to determine the scheduling scheme for the next cycle based on the target inventory level and the operational constraints of each node, with the goal of minimizing scheduling costs and inventory level differences; and performing refined oil resource scheduling on each node according to the scheduling scheme of the first sub-cycle of the next cycle. The embodiments described in this paper can improve the efficiency of refined oil resource scheduling.

A mine car resource scheduling method, system, device and medium based on a second constraint convex optimization method, the method comprising: establishing a scheduling model based on a second constraint convex optimization with the overall minimization of transportation time and processing time and the maximization of transportation volume as the optimization target; linearizing the constraint conditions of the optimized scheduling model; obtaining an optimal solution by KKT condition calculation of the convex optimization scheduling model through linearization transformation and genetic algorithm; and calculating the reasonable number of mine cars, the number of excavators and the optimal speed and optimal spacing of travel in real time to achieve the goal of minimum overall efficiency processing time and maximum workload of the mine car resources; the system, device and medium are used to implement the mine car resource scheduling method based on the second constraint convex optimization method; the reasonable number of mine cars, the number of excavators and the optimal speed of travel are calculated in real time by solving the multi-objective convex optimization problem through the construction of the scheduling model, so as to achieve the goal of minimum overall efficiency processing time and maximum workload, realize the resource matching and optimal scheduling of the mine car and the excavator, efficiently solve the problem, greatly improve the efficiency of the mine car resource scheduling, and improve the comprehensive management level of vehicle transportation and operation.