3results about How to "Solve the allocation problem" patented technology

This invention discloses a method, equipment, and medium for airline allocation in collaboration between base airlines and alliances, relating to the field of airport operation planning technology. By predicting the alliance's capacity demand within a preset future timeframe, and integrating base airline capacity growth forecasts, alliance collaboration needs, and terminal capacity constraints, a multi-objective optimization model is constructed. This model achieves precise matching and dynamic adjustment between airlines and terminals, strengthens the adaptability constraint between the alliance's future total capacity and the terminal's design capacity, ensures that the alliance's future total capacity in the current allocation does not exceed the terminal's design capacity, and provides quantitative capacity recommendations for future terminal planning. It solves the problems of traditional methods neglecting alliance collaboration, capacity adaptability, and planning foresight, reduces cross-terminal transfer costs, improves airport operational efficiency and passenger experience, and provides a scientific basis for future terminal planning. It is applicable to the long-term planning and daily scheduling of large multi-terminal hub airports.

The invention discloses a multi-task core grain architecture GPU-oriented stream processor dynamic allocation method and system. The method comprises the following steps: equally dividing the number of stream processors for all tasks; calculating a task bandwidth demand and an actual available bandwidth, obtaining a mismatching degree according to the task bandwidth demand and the actual available bandwidth, and then redistributing the number of stream processors of each task; calculating the available memory bandwidth of each task in different spatial arrangement modes, and selecting an optimal spatial arrangement mode according to the available memory bandwidth; the method comprises the following steps: determining an idle stream processor and an unfinished task, calculating the kernel residual execution time of the idle stream processor and the stealing overhead of the unfinished task, and stealing the idle stream processor according to the kernel residual execution time and the stealing overhead. According to the method and the device, the problem of allocation of stream processor resources among a plurality of tasks can be solved, extensible high throughput and high resource utilization rate in the multi-task core grain architecture GPU are realized, and the method and the device can be widely applied to the technical field of computers.

This invention discloses a method and system for monitoring watershed ecological security based on big data. The method includes data acquisition, data preprocessing, watershed ecological environment monitoring, watershed ecosystem monitoring, hyperparameter optimization, and comprehensive watershed ecological monitoring. This invention belongs to the field of ecological security information processing technology, specifically a method and system for monitoring watershed ecological security based on big data. This solution creatively integrates ecological environment monitoring and ecosystem monitoring, improving the comprehensiveness and accuracy of watershed ecological security monitoring. It introduces adjacency domain similarity, standard deviation adjustment distance, and allocation coefficients to optimize the selection process of cluster centers, solving the technical problem of inaccurate watershed ecosystem monitoring results. It employs dynamic adaptation factors, opposing individuals, and individual symbiotic updates to improve the algorithm for obtaining optimal parameters of the monitoring model, obtaining the optimal parameter combination, improving the accuracy of the model output results, and making the watershed ecological environment monitoring results more precise.