Abstract: The disclosure relates to an activity recognition method of a large receptive field (LRF) large-kernel attention convolution network based on a large receptive field, the method includes the following steps: collecting an action signal, carrying out a preprocessing and a data partition on the action signal to obtain a data set; and training an LRF large-kernel attention convolution network model based on the data set, and introducing a trained LRF large-kernel attention convolution network model into a mobile wearable recognition device for human posture recognition.

Abstract: This article discloses an interaction method and apparatus, and electronic device and medium. The interaction method comprises: displaying an interaction interface after a user selects an interactive object via a selection interface and the interactive object receives an interaction invitation, wherein the interaction interface is configured to display pictures taken by the user and the interactive object in real time, the interaction interface comprises an interaction control for the user and the interactive object to interact while capturing in real time, the selection interface and the interaction interface are video capturing related interfaces, the video capturing related interfaces are related to capturing of an interactive video, and the interactive video is a video which is taken while the user and the interactive object interacts based on the interaction interface; obtaining a setting operation for the interaction control; and responding to the setting operation within the interaction interface.

Abstract: A method for knowledge representation and deduction of service logic includes: generating, based on a knowledge representation model, a semantic graph corresponding to conceptual-layer service logic, where the semantic graph includes one or more types of nodes and edges for connecting the one or more types of nodes, and the nodes include at least a node of a variable type; generating, based on the semantic graph and a physical table to which a service object is mapped, an instance graph, where the instance graph includes the nodes and edges in the semantic graph; generating executable code based on a service logic relationship between the nodes in the instance graph; and determining, based on the executable code and a data instance corresponding to a node whose in-degree is 0 in the instance graph, a data instance corresponding to each node in the instance graph.

Abstract: A method of engineering forecast and analysis is provided. The method includes: generating a forecasting model based on financial or business information obtained through a user interface, where the forecasting model expresses a logical determining and/or calculation rule based on a structure of a high-order directed graph and by using a plurality of nodes, attributes of the plurality of nodes, and a relationship between every two of the plurality of nodes, and the forecasting model expresses a forecasting path through a directed edge between the nodes; and configuring a common attribute of the forecasting model, an attribute of the forecasting path, and a personalized attribute of the node based on instantiation configuration information.

Abstract: Disclosed are a quantum color image encrypting method based on modification direction and corresponding circuit, respectively providing quantum modular circuits design for a parallel adder, a parallel subtractor, a comparator, a cyclic shift add 1, and a cyclic shift subtract 1; and based on these modular circuits, circuit for implementing quantum color image steganography is provided. From the complexity analysis of implementing quantum circuit for color image steganography, it is seen that for a two-dimensional quantum color image with 22n pixels and the R, G, and B channels of which are respectively represented by q number of quantum bits, the steganography algorithm is an efficient transformation method, and the circuit complexity is O(q2+n), which can hardly be achieved by classical geometric transformation. The disclosure is applicable for many practical image processing applications, e.g.

Abstract: Disclosed are a quantum color image encrypting method based on modification direction and corresponding circuit, respectively providing quantum modular circuits design for a parallel adder, a parallel subtractor, a comparator, a cyclic shift add 1, and a cyclic shift subtract 1; and based on these modular circuits, circuit for implementing quantum color image steganography is provided. From the complexity analysis of implementing quantum circuit for color image steganography, it is seen that for a two-dimensional quantum color image with 22n pixels and the R, G, and B channels of which are respectively represented by q number of quantum bits, the steganography algorithm is an efficient transformation method, and the circuit complexity is O(q2+n), which can hardly be achieved by classical geometric transformation. The disclosure is applicable for many practical image processing applications, e.g.