35 results about "Social perception" patented technology

A system for evaluating communicative acts to determine a social perception network based on communicative acts between a plurality of communicative pairs. Each communicative pair includes two communicating entities. The system includes a patterns database, a scoring processor, and a communications network aggregation processor. The patterns database stores behavior recognition patterns defining particular behaviors and a score associated with each of the particular behaviors. The scoring processor is configured to determine a pairwise social perception score for the communicative pair based on the particular behaviors identified in the communicative acts. The scoring processor is configured to determine a different pairwise social perception score for each one of the plurality of communicative pairs. The communications network aggregation processor is configured to combine the pairwise social perception scores for each of the plurality of communicative pairs into a social perception network. Other embodiments including other systems, methods, and products are also disclosed.

The invention discloses a D2D communication mode selecting method based on social sensing. The method comprises the steps that step one, the social connecting strength between a content providing userand a content demanding user is firstly calculated; step two, the theoretical transmission rate between the content providing user and the content demanding user is calculated; step three, a user utility matrix is calculated according to the social connecting strength and the theoretical transmission rate; step four, user matching is conducted taking user total utility maximization as the goal according to the user utility matrix obtained in step three, and if the content demanding user is matched with a base station, contents are obtained from the base station by the content demanding user through a cellular mode; if the content demanding user is matched with the content providing user, the content demanding user uses a D2D mode to obtain the contents from the content providing user. Themethod has the advantage that problems of user matching and mode selecting between multiple content providing users and content demanding users can be effectively solved.

The present invention discloses a computing task network parameter optimization method and system combined with social perception, and relates to the field of MEC-D2D network application technology, including determining the MEC-D2D network architecture, data transmission model, and consumption model combined with social networks corresponding to the research area and social trust matrix; according to the social trust matrix and the data in the consumption model, execute the consumption calculation function and the data transmission consumption calculation function to determine the maximum long-term system network utility function and constraint conditions corresponding to the research area, and use the Lyapunov optimization algorithm to maximize The system network utility function is decoupled to obtain three deterministic optimization objective functions; according to the total amount of computing task data and optimization algorithm corresponding to the research area, the above three deterministic optimization objective functions are solved to obtain the optimal network parameters. The application of the above network parameters in the present invention can reduce the energy consumption of the device execution process and the device transmission process in the MEC-D2D network for a long time.

The invention discloses a user discovery and resource allocation method based on social awareness in D2D communication, which belongs to the field of mobile communication. Specifically: firstly, establish a D2D communication scenario that satisfies social relationship and physical location constraints; pair and optimize the D2D communication users in the scenario according to the D2D communication user discovery and pairing algorithm; further calculate the entire system throughput C of the base station Total ; Then, the system throughput C Total As the objective function, combined with the constraints, the quantum particle swarm algorithm is used to solve the problem, and the optimal particle position is obtained, so as to allocate the subcarriers and power of the system; finally, the user discovery and resource allocation based on social perception in D2D communication are simulated and verified ; The advantage is that the back-off mechanism in the case of user node remaining energy and request conflict is considered; and combined with subcarrier and power allocation, a joint resource allocation method is proposed. According to the simulation results, it can be seen that the socially aware D2D discovery and pairing algorithm has better performance.

A congestion control method based on social perception in a delay-tolerant network. Aiming at the congestion problems caused by intermittent connections, long delays and node cache limitations in social delay-tolerant networks, a congestion control method based on social perception is proposed, considering the node According to the social relationship characteristics and congestion degree of the social relationship, the social congestion measurement value is constructed, and the message is forwarded to the node with a higher social congestion measurement value during the forwarding process. When congestion occurs, according to the social relationship between the destination node corresponding to the message and the current node carrying the message Value, select the message corresponding to the minimum value and discard it, reducing the impact on routing efficiency due to blind packet loss. The simulation results show that compared with the existing algorithms, the SACC algorithm can effectively improve the delivery success rate, reduce the packet loss rate, and reduce the overhead within the tolerable delay range.

The present invention specifically relates to a method and system for personalized dynamic carpooling based on price income and social perception. The present invention is based on the personalized dynamic carpooling method based on price income and social perception. The social relationship that users care about and the price mechanism act simultaneously In the vehicle-sharing matching service, when matching, under the premise of ensuring the basic itinerary constraints of passengers, not only consider the price benefits brought by new passengers to drivers, but also consider prioritizing passengers with certain social relationships in a car , in the case of meeting the basic itinerary needs of passengers, taking into account the comfort of passengers and the price benefits of drivers. The present invention can provide users with a complete set of optimization mechanism for the matching process. By using the upper limit of price income and social relationship, branch and limit algorithm and index mechanism to cut the search space, the speed of matching passengers and vehicles is improved, and the system operation is improved. Efficiency improves the shared ride experience.