8results about How to "Accurate interaction" patented technology

The invention relates to a voice interaction method based on a dynamic tag library and terminal equipment. The method comprises the following steps: receiving voice interaction information sent by a user; performing intention recognition on the voice interaction information based on a preset dynamic tag library, and determining an intention recognition result matched with the voice interaction information; wherein the preset dynamic label library comprises a user behavior label library and a dynamic content label library; the user behavior tag library comprises behavior tags related to user preferences and behavior habits; the dynamic content label library comprises dynamic content labels related to user preferences; based on the intention recognition result, executing an action sequence corresponding to the intention recognition result; the interaction intention of the user can be more comprehensively and accurately understood, so that accurate interaction is realized, and the individuation degree and accuracy of voice interaction are improved.

The invention discloses an activity classification method and system supporting RPA and based on a graph neural network. According to the method, the clustering operation is performed according to the output reconstruction features, so that the problems of multi-track staggering in the user operation behavior log and poor classification effect when a complex process exists can be effectively solved. When the model is constructed, the edge and node information is fused into an attention mechanism, the relation between the nodes and the edges of the context and more complex semantic information are comprehensively considered in the obtained message feature representation, and the obtained reconstruction vector can more accurately represent the interaction between the activities; therefore, the complex track tasks of the user operation behavior logs can be classified correctly.

The embodiment of the invention provides a page interaction method and device, equipment and a storage medium. The method comprises the steps that according to the current interaction service and the current interaction behavior of any user, a corresponding current service execution node is determined from a generated service flow link diagram, and the service flow link diagram is formed by connecting service links of multiple interaction services in series; obtaining declarative attribute data of each associated page component under the current service execution node; and displaying a corresponding interaction response page according to the declarative attribute data. According to the embodiment of the invention, the actual page response condition during the business flow can be flexibly described through the actual data change of the declarative attributes of various page components in the business flow process, so that the user interaction behavior is separated from the page response effect to adapt to the changeable user interaction behavior, the flexibility and accuracy of page interaction are ensured, and the user experience is improved. And the page interaction performance is improved.

The invention relates to the technical field of generator excitation simulation, and discloses an RT-LAB-based generator excitation small signal semi-physical simulation method and detection system, and the simulation method comprises the following steps: building a single machine infinite bus simulation system and a generator excitation system model in RT-LAB software; a semi-physical simulation platform loaded with RT-LAB software is electrically connected with the AVR excitation regulator through a conversion card; based on the generator excitation system model established in RT-LAB software, determining the optimal working parameters of the PSS of the AVR excitation regulator; and based on the optimal working parameters of the PSS of the AVR excitation regulator, adjusting the control parameters of the single-machine infinite-bus simulation system and the generator excitation system model so as to evaluate the response performance of the AVR to various generator faults. According to the method, a small signal model is built through RT-LAB, and the test accuracy is ensured by utilizing the real-time capability of the step length of 15 microseconds.

The present application relates to a kind of synthesis method and electronic equipment of coronary artery CCTA image, comprising: obtaining the image of paired NCCT and CCTA, after pretreatment, obtain high consistency image training pair;LDM model suitable for adapting coronary artery image synthesis is constructed, the LDM model includes frozen variational autoencoder, the denoising U-Net of trainable based on cross attention mechanism, and decoder, the denoising U-Net integrates ResNet2D module, Transformer2D module and multi-scale cross attention layer;After pre-processing, the NCCT image to be processed is input into the LDM model trained, and the latent representation of CCTA image is generated by the reverse diffusion denoising process in latent space, and finally the high-resolution Syn-CCTA image is output by decoder.Compared with prior art, the present application has the advantages of no contrast agent to realize coronary artery CCTA image with auxiliary diagnostic value.

The present invention discloses a vehicle-mounted cockpit interaction system and method based on a cognitive big model. The vehicle-mounted cockpit interaction system based on a cognitive big model includes an interaction data acquisition module, an interaction data analysis module and an interaction execution module. The present invention obtains voice interaction data, gesture interaction data and real-time interaction data of the vehicle to be tested through the interaction data acquisition module, and then the interaction data analysis module constructs an interaction recognition data set in combination with the received data, and constructs a first interaction recognition model, and then screens the first interaction recognition model according to the recognition performance index to obtain an interaction recognition model, and obtains the cockpit interaction analysis results corresponding to the real-time interaction data according to the interaction recognition model, and finally the interaction execution module provides corresponding functional services according to the received cockpit interaction analysis results, thereby reducing the influence of the in-vehicle environment on the accuracy of the in-vehicle cockpit interaction recognition, and solving the problem in the prior art that the in-vehicle environment has a great influence on the accuracy of the in-vehicle cockpit interaction recognition.

The present disclosure provides a game control method and an electronic device, by setting a first control and controlling the controlled virtual object to sequentially execute different flight states based on different operation and release operation, one-stop control of all flight states by single control is realized; since the player only needs to press, release and trigger the same control to complete the flight cycle, the control threshold of multi-finger and multi-control coordination is significantly reduced, and the smoothness and convenience of the interactive experience are improved. At the same time, the introduction of the level flight state enables the controlled virtual object to maintain the current flight height in the air, providing the player with stable air stay and observation of the environment, thereby expanding the interactive space dimension in the virtual scene and improving the game richness and strategy depth.

The application discloses a kind of charging pile cluster collaborative scheduling methods and systems for power grid interaction, method includes: by edge collection terminal real-time acquisition charging pile cluster's power demand data and power grid side's time-of-use electricity price, regional load and carbon intensity signal, and using long short-term memory network predicts future preset time period's power supply and demand situation;Based on power supply and demand situation, construct the space-time coupling feature matrix of charging pile cluster;Utilize distributed optimization algorithm to solve space-time coupling feature matrix, generate cluster collaborative scheduling strategy with power grid peak valley smooth and minimum carbon emission as target;According to cluster collaborative scheduling strategy, dynamically allocate the real-time power adjustment instruction of each charging pile, and based on blockchain consensus mechanism, verify instruction execution compliance.Utilize the embodiment of the application, can realize the accurate, credible collaborative interaction of charging pile cluster and power grid dynamic supply and demand, improve the economy and low carbon of power grid operation.