9results about How to "Increase consideration" patented technology

The invention relates to the technical field of ship automatic control and intelligent traffic systems, solves the technical problem that trust evaluation is invalid or inaccurate due to the fact that a traditional trust evaluation method does not fully consider changes of a dynamic environment and a system state, and particularly relates to a shore-based driving and control inland river ship intelligent navigation man-machine interaction trust evaluation method. The objective of the invention is to improve the interaction safety and system stability between a ship and a shore-based control center through a dynamic trust calculation and risk assessment mechanism. The method specifically comprises four parts: trust index system construction, data acquisition and preprocessing, dynamic trust calculation and risk assessment and response. According to the method, the man-machine interaction trust in the intelligent navigation of the inland ship is dynamically evaluated and managed through a zero trust framework, so that the safety and stability of the ship in the navigation process are improved, and particularly, the trust degree of interaction between a shore base and the ship is evaluated in a complex and dynamic navigation environment; therefore, the safety and reliability of the system are ensured.

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 invention provides a device and a method for measuring and calculating dynamic and static contact angles of an in-situ environment of a deep reservoir. The device comprises a high-temperature and high-pressure visual kettle, a sample clamping electric lifting platform, a liquid dripping needle group, a backlight lamp, a linkage camera, a liquid dripping system, a heating system, a pressurizing system, a high-speed camera and a central control computer, when the dynamic contact angle is measured and calculated, the high-temperature and high-pressure visible kettle rotates along a fixed shaft, the sample clamping electric lifting platform is positioned in the high-temperature and high-pressure visible kettle, the liquid dripping needle group and the linkage camera are fixed on a kettle cover on the inner side of the high-temperature and high-pressure visible kettle, and the backlight lamp irradiates the sample clamping electric lifting platform; the central control computer controls the heating system to heat the high-temperature and high-pressure visual kettle, controls the pressurization system to pressurize the high-temperature and high-pressure visual kettle and controls the liquid dropping system to enable liquid to flow out of the liquid dropping needle set. According to the technical scheme, the problem that in the prior art, the rock wetting characteristics under the reservoir in-situ condition cannot be conveniently, efficiently and accurately expressed is solved.

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.

The invention is suitable for the technical field of pipe network monitoring, and particularly relates to a drainage pipe network monitoring method, platform and system, and the method comprises the steps: obtaining monitoring data on a drainage pipe network node; detecting the water flow impurity condition at the drainage pipe network node; and generating monitoring information corresponding to the drainage pipe network node based on the monitoring data and the water flow impurity condition. The drainage pipe network monitoring method provided by the invention can solve the problem that the traditional drainage pipe network monitoring is generally based on artificial experience, whether the drainage pipe network is normal or not is judged through a simple comparison method, the judgment is easily influenced by human factors, and the monitoring accuracy is reduced.

The invention discloses a social network emotion evolution model fusing user influence and activeness, and relates to the technical field of social network analysis. In order to solve the technical defects of inaccurate simulation and inflexible prediction in the existing network sentiment analysis and sentiment evolution analysis process in the prior art, the invention provides a social network sentiment evolution model fusing user influence and activeness. The model analysis method comprises the steps of collecting a text emotion of a target user; collecting the user influence of each user; collecting the activeness of the target social network at the t moment; the forgetting probability of each user at the t moment is collected as the emotional evolution ability; an emotional evolution dynamics model of the social network; optimizing the evolution probability of the information spreading model according to the text emotion; and analyzing the evolution process of the emotional evolution dynamics model of the social network according to the optimized information propagation model. The method is suitable for social network analysis work.

The present invention discloses a fabric image defect classification method and system based on improved LDA-GSVD. The method comprises: S1, extracting features from fabric images to obtain feature matrix X and label matrix H; S2, randomly dividing data set samples into labeled training samples X train and labeled test samples X test ; S3, using the inter-class discrete weight coefficient and the intra-class compact weight coefficient, calculate the intra-class scattering matrix S after adding local geometric information W and the inter-class scattering matrix S B ; S4, use the redefined #imgabs0# and #imgabs1# to get the matrix pair of #imgabs2# and #imgabs3# required by GSVD; S5, get the optimal projection matrix W through the improved linear discriminant analysis model, and transform the test sample X test Y is obtained by projecting the matrix W to the new subspace, and the KNN classifier is used to confirm the test set sample label. The present invention can solve the problems of lack of local geometric information and small sample high dimension in traditional LDA, and effectively improve the accuracy and efficiency of fabric image defect classification.

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.