4results about How to "Effective portrayal" patented technology

The application discloses a kind of packaging box flaw online detection method and device, it is related to online detection technical field.The method steps include: establishing surface response excitation mechanism to form surface response sequence image set;Response consistency analysis is constructed based on the image set by response consistency, to distinguish normal and abnormal area;Abnormal area image is extracted to obtain abnormal surface feature vector, and based on support vector mechanism, build flaw type identification model, input feature vector and output flaw type identification result, combine abnormal area with flaw type identification result, generate packaging box flaw grading detection result.Based on the packaging box flaw grading detection result, the online detection of packaging box flaw is realized.

The application discloses a kind of education resource sequence recommendation method, device and equipment based on three-view structure distillation and storage medium, the method includes: based on student-course interaction log, the learning sequence of time sequence course index is constructed, three types of view hypergraph are constructed according to semantic, path, concept structure multidimensional feature, three-view course representation matrix is generated by structure coding fusion, and the recommended list is output by inputting education resource recommendation model;Education resource recommendation model generates student state vector by the coding of Transformer, and the total course score is obtained by fusing three-view branch score and predicted;The present application predicts the education resource recommendation by three-view collaborative scoring from multiple perspectives, accurately captures course representation, effectively depicts learning path high-order law, improves the accuracy, explainability and generalization ability of education resource recommendation in sparse interaction and cold start scene.

The invention provides a traffic state prediction method and device, a terminal and a medium, and relates to the technical field of intelligent traffic, and the method comprises the steps: recognizing a key traffic road section as a key node based on the historical traffic state data of each traffic road section; constructing a double-layer traffic network structure according to an identification result; a first traffic network structure in the structure comprises all traffic road sections and a spatial connection relation thereof, and a second traffic network structure only comprises key traffic road sections serving as key nodes and a spatial connection relation thereof; and extracting network-level spatial features and key node spatial features based on a double-layer traffic network structure, guiding fusion of the network-level spatial features and the key node spatial features based on prior knowledge information related to each traffic road section, and predicting the traffic state based on the fused spatial features. According to the method, the key node characteristics in the traffic network can be combined, the traffic road segment priori knowledge is utilized to guide feature fusion, and the traffic state prediction accuracy and stability are improved.

The invention discloses a network traffic deep packet detection and malicious behavior recognition system, which relates to the technical field of network security, and comprises a traffic feature multi-dimensional extraction module, a dynamic graph construction and updating module, an adaptive graph attention recognition module and a closed loop feedback optimization module. A network communication relation is modeled into a dynamic graph structure, a graph neural network based on a dynamic attention mechanism is adopted to identify malicious behaviors such as botnet, transverse movement and data leakage, system parameters are continuously optimized through a closed-loop feedback mechanism, and the four modules form a deep coupling closed-loop cooperative system. According to the method, the mutual promotion and superposition synergistic effect is achieved, the system malicious behavior recognition accuracy rate reaches 96% or above, the processing delay is controlled at the microsecond level, and the method can be applied to network security protection of operator networks and large enterprises.