8results about How to "Increase influence" patented technology

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 false data injection attack method for a multi-elastic-joint robot system, and belongs to the technical field of multi-agent network attacks based on computer data processing. Firstly, a multi-elastic joint robot nonlinear dynamic mathematical model is constructed and converted into a high-order all-drive quasi-linear multi-robot system dynamic model based on an all-drive system theory; and then designing a distributed consistency controller containing a linearization item and a neighbor error related item, establishing closed-loop global dynamics and deducing a state analytical solution in combination with equivalent conversion of the model. Designing a false data injection attack strategy, and constructing an attacked system dynamic model; a closed-loop terminal state error in the presence or absence of attacks is taken as a target function, an attack optimization problem is converted into a combinatorial optimization problem, a greedy algorithm is designed by applying a sub-module optimization theory, and a suboptimal solution in polynomial time is obtained and is taken as an optimal scheme of false data injection attacks of the system. According to the method, the applicability of the complex nonlinear multi-agent system is improved, and the calculation complexity is reduced.

The application provides a multi-agent cooperative social network information propagation adaptive guidance method and system, which can be applied to the technical field of information propagation guidance. The method comprises the following steps: obtaining long-time characteristics and short-time characteristics of a plurality of users, the long-time characteristics comprising social behavior characteristics of the users in a predetermined historical time period, and the short-time characteristics representing personal views of the users on a predetermined event; constructing a user network according to the long-time characteristics and the short-time characteristics; performing a first structure adjustment process on the user network to generate a first test network; calculating a first difference value between a complexity of the first test network and a complexity of the user network, and determining a first influence representing a first influence generated by information propagation of a target user in the user network based on the first difference value; determining a propagation leading crowd from the plurality of users based on the first influence; obtaining a propagation guidance strategy; and guiding the propagation leading crowd by using the propagation guidance strategy. The scheme provided by the application can improve the effect of information propagation guidance.

This invention discloses a method and terminal for the linked use of in-game weather data. It creates hidden events and weather data corresponding to the game scene; sets event triggering conditions for hidden events under different weather data; and, while the player is playing, it acquires the current weather data of the game scene where the player-controlled virtual character is located, as well as the player's operation data in real time. It then determines whether the player's operation data meets the event triggering conditions corresponding to the current weather data within the triggering condition set. If so, it generates the corresponding hidden event within the current game scene. This invention sets up the linkage between weather data and hidden events within the game scene, improving the resource utilization rate of in-game weather data and providing players with a novel experience that runs throughout the entire game.

The invention relates to a remote assistance method and device, electronic equipment and a storage medium. The method comprises the steps that a polyphonic ringtone platform obtains first information, and the first information is used for identifying that a first terminal outgoing call request comprises a remote assistance request; and the polyphonic ringtone platform establishes a remote assistance channel between the first terminal and the second terminal based on the remote assistance video polyphonic ringtone corresponding to the remote assistance request. According to the method, remote assistance can be realized through the video polyphonic ringtone, a client does not need to be installed, the operation is convenient, the convenience of remote assistance can be greatly improved, and the use scene of the video polyphonic ringtone can be enriched.

The invention relates to an intelligent alignment compensation method for assembly of a liquid crystal panel and a backlight module, and aims to solve the problems of dynamic pose deviation and weight mismatch caused by material batch difference, nonlinear deformation and environmental factors in a high-precision fitting process. According to the core technology, an industrial camera array and a multi-source sensor are used for collecting multi-dimensional micro texture and environment data, a fingerprint spectrum of intrinsic deformation characteristics of a material is established in a fusion mode, spectrum matching and weight self-adaptive calibration are carried out in combination with real-time working conditions and visual feedback, and six-degree-of-freedom micro dynamic correction is achieved through FPGA acceleration driving control. According to the scheme, the sub-pixel-level precision in the attaching process of the liquid crystal panel and the backlight module is effectively improved, the nonlinear deformation trend of materials is restrained, the control instruction response speed is optimized, continuous and accurate calibration of self-adaptive compensation weights among batches is guaranteed, and the process consistency and the automation level are improved.

The application discloses an intelligent watch data security transmission method and system based on artificial intelligence, relates to the technical field of data transmission, and comprises the following steps: collecting multi-source type data through an intelligent watch sensor to form a type data set; determining a disclosure probability according to log access and public matching times of the type data, analyzing sensitivity based on the collection times, and summarizing and calculating a privacy score; analyzing the importance score of the type data according to a user request; determining a real-time score according to delay analysis of the data; introducing an entropy weight method to dynamically calculate a weight; and calculating a comprehensive sensitivity score.The method disclosed by the application dynamically adjusts the weight of each parameter through the entropy weight method and information entropy, so that the influence of each parameter on the comprehensive sensitivity score is enhanced, and the influence of parameters with weak distinguishing ability is reduced; and the introduction of the priority group distribution ratio ensures that the node weight reflects the distribution characteristics of the comprehensive sensitivity.

The invention relates to the technical field of intelligent mode recognition and big data analysis, and discloses an intelligent recognition and early warning method and system for a long-term unoperated enterprise, and the method comprises the steps: obtaining the multi-source behavior time series data of the enterprise; carrying out unified time alignment and quantizing to generate a multi-dimensional behavior activeness vector sequence; extracting a behavior attenuation index based on the LSTM network with forgetting gating; calculating a behavior mode mutation degree in combination with sliding difference and principal component analysis; and inputting the two into an SVM discriminator to output an unoperated probability, and performing grading early warning according to a threshold value. The system comprises a data acquisition module, a time sequence alignment module, a feature extraction module, a mutation degree calculation module, a state judgment module and an early warning generation module. According to the invention, through dynamic modeling of the full-dimensional behavior flow of the enterprise, the recognition accuracy and supervision perspectiveness are significantly improved.