4 results about "Web presence" patented technology

Systems and methods for detecting the presence of a body (typically a human) in a network without fiducial elements while additionally using fiducial elements to assist the system and possibly reduce the computational loading on the system. The fiducial element may be used in many ways including, without limitation, assisting in ignoring some bodies present in the detection area and training the system using additional data.

The application discloses a collaborative office network security management method and system based on artificial intelligence and a medium, belongs to the technical field of artificial intelligence network security, and is used for solving the technical problem that when the existing collaborative office network has network abnormal conditions or network security events, the emergency mechanism mainly depends on manual intervention, and the response efficiency is low when data leakage or system paralysis is caused. The method comprises the following steps: through an edge computing node and based on an artificial intelligence engine architecture, performing edge preprocessing on initial office network data about adversarial samples to obtain a network feature matrix based on the initial office network data; through the artificial intelligence engine architecture, performing double-channel network anomaly detection processing on the network feature matrix to obtain network anomaly detection result data; and according to the network anomaly detection result data, performing corresponding network risk response actions and automatically generating a network anomaly solution strategy.

Disclosed in the present invention is a network and log intelligent management method, comprising the following steps: deploying a network monitoring tool and a log analysis tool in a target network; defining a network monitoring index, monitoring the target network in real time by means of the network monitoring tool, and acquiring log data by means of a log monitoring tool; performing fusion analysis on network monitoring information and the log data, and on the basis of the analysis result, determining whether the target network has had an anomaly; and defining an alarm mechanism, and issuing an alarm when the target network has had an anomaly. By implementing monitoring, the present invention can discover anomalies in a system and a network quickly, thus reducing the processing time, improving the availability and stability of the system and the network, and by means of monitoring, performing configuration and optimization on network resources; the present invention can identify and prevent potential problems by means of data analysis, and can perform fusion analysis on network monitoring information and log data, so as to further enhance the anomaly detection capability; and by means of establishing a robust monitoring and emergency alarm mechanism, the present invention can ensure continuity and stability of services.

This invention discloses a video anomaly behavior recognition method based on knowledge distillation using a relaxed divergence function. This method allows for a more relaxed matching of the outputs of the teacher network and the student network, thereby improving the knowledge distillation effect. The specific implementation method is as follows: First, consecutive video images are randomly extracted from the entire dataset and preprocessed as training samples. Then, these samples are fed into the proposed teacher network for training to obtain the optimal parameters. Next, the optimal parameters of the teacher network are used to distill and train the student network. Due to the significant capacity difference between the teacher network and the student network, the proposed relaxed divergence function is used to match the output confidence of the two networks. Finally, soft loss and hard loss are used as a joint loss function to backpropagate the error of the student network, thereby optimizing the parameters of the student network to achieve optimal results.