4results about How to "Increase consideration" patented technology

The application relates to an aviation fuel cell operation evaluation method, device and computer equipment. The method comprises the following steps: obtaining flight environment information, flight power demand information and aviation fuel cell auxiliary information, thereby identifying aviation fuel cell working condition operation boundary information; based on the working condition operation boundary information, identifying an extreme / conventional working condition operation range of the aviation fuel cell, so as to construct an aviation fuel cell simulation operation strategy; obtaining simulation operation results of each simulation operation strategy, a low-dimensional fuel cell model and an auxiliary model of the aviation fuel cell, thereby constructing an aviation fuel cell model; based on target operation condition information, the target operation results of the aviation fuel cell model are simulated through the aviation fuel cell model, thereby determining target cell control information of the aviation fuel cell. The method can improve the identification accuracy of the fuel cell control strategy facing variable environments.

This invention relates to the field of social network analysis technology and proposes a social network sentiment evolution model that integrates user influence and activity. To address the shortcomings of existing technologies, such as inaccurate simulations and inflexible predictions in current network sentiment analysis and sentiment evolution processes, this invention provides a social network sentiment evolution model that integrates user influence and activity. The model analysis method involves: collecting text sentiment data from target users; collecting user influence data from each user; collecting the activity level of the target social network at time t; collecting the forgetting probability of each user at time t as a measure of sentiment evolution capability; establishing a dynamic model for the sentiment evolution of the social network; optimizing the evolution probability of the information propagation model based on text sentiment; and analyzing the evolution process of the dynamic model for the sentiment evolution of the social network based on the optimized information propagation model. This model is suitable for application in social network analysis.

The application discloses a kind of wisdom space equipment data transmission bus arrangement method and equipment, it is related to wisdom space wireless communication technical field, including setting target function calculation equipment position, wisdom space is divided into three-dimensional grid, for each grid allocation index, equipment coordinate is mapped to grid index, calculate grid occupancy probability, generate path occupancy flag;Directly calculate the number of sound window samples and reverberation window samples, divide direct sound energy by reverberation sound energy, calculate linear DRR, calculate the mean square vibration energy of equipment, combine path occupancy probability and average vibration energy, calculate vibration coupling energy, based on received signal strength, convert into linear power and linear signal-to-noise ratio.The application improves the accuracy of effective bandwidth estimation by fast fourier transform combined with power delay spectrum calculation, and improves the rationality of link screening by path occupancy probability combined with DRR utilization factor.

This application discloses a data processing method, apparatus, device, and storage medium. The data processing method relates to the field of data processing technology. The method includes: determining multiple sets of data sources to be tested and evaluated, each set of data sources including at least one feature, each feature corresponding to a data category, and the same data category including at least one feature; determining at least one selected target data category within the multiple data categories, and determining the minimum number of features corresponding to each target data category; determining a feature score corresponding to each feature based on its discriminative power, and sorting each feature according to its feature score to obtain a feature sorting queue; selecting features according to the feature sorting queue and the minimum number of features corresponding to each target data category; constructing a target feature set based on the selected features; and outputting the target feature set and the target data sources corresponding to the features within the target feature set. This application can improve data processing efficiency.