22results 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 a self-adaptive Monte Carlo macro particle simulation method and system based on parallel computing, and relates to the technical field of particle simulation, and the method comprises the steps: initializing parameters, if the current step number is not the maximum step number, storing node data, balancing particle loading, and calculating charge density and battery density; using macro particles to represent a group of real particles, updating the positions and speeds of all the particles in parallel, and calculating new charge distribution; setting adaptive grid configuration, and dynamically adjusting grid density according to electric field intensity and local density of charge distribution; and based on the updated particle position and speed, evaluating and processing a collision event, storing collision data, re-calculating surface charge density data, adding 1 to the current step number, and circularly executing to finish simulation when the maximum step number is reached. According to the method, the accuracy of a simulation result is improved through the improved collision model, electrical discharge behaviors under different conditions are better predicted, and more reliable data support is provided for design and safety evaluation of high-voltage equipment.

The invention discloses a gas stove intelligent control method based on biological recognition and AI learning, and relates to the technical field of data processing. The method comprises the following steps: acquiring original audio data through audio acquisition equipment, extracting a current audio feature from the original audio data, and verifying a user identity according to the current audio feature; if the identity verification is passed, analyzing the current audio features into user text information and storing the user text information; matching context information of the current user text information; inputting the context information and the current user text information into a multi-round dialogue model to generate an operation instruction and / or interactive text information; and converting the interactive text information into interactive audio data through audio output equipment, outputting the interactive audio data, and controlling the gas stove according to the operation instruction. The contextual information and the current user text information are combined to generate the operation instruction and / or the interaction text information, so that the user intention is accurately recognized, intelligent decision making and continuous interaction are achieved, the user experience is improved, and the risk of misoperation is reduced.

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 invention relates to the technical field of alloy material design and calculation, in particular to an alloy material thermo-mechanical property multi-scale simulation method based on a machine learning potential function. The method comprises the steps of S1, data preparation, S2, potential function construction, S3, multi-scale simulation and S4, result analysis. A potential function capable of accurately describing interaction between atoms of the alloy material is constructed through a machine learning algorithm, and accurate simulation and prediction of the mechanical and thermal properties of the alloy material are achieved in combination with a multi-scale simulation method. The technology provided by the invention has the advantages of high simulation precision, short research and development period, optimized material performance and the like, and is of great significance to design and optimization of alloy materials.

The invention discloses a rapid screening model for simulating co-culture of colon-like organs and flora, and belongs to the technical field of in-vitro digestion simulation. The invention provides a rapid screening model for co-culture of colon organoid and intestinal flora, and solves the problem that oxygen demands are difficult to coordinate due to different organoid and intestinal flora. By introducing an oxygen gradient control technology, coexistence of organoids in an aerobic environment and intestinal flora in an anaerobic environment is realized in the same system. The rapid screening model disclosed by the invention can efficiently simulate the intestinal microenvironment, is particularly suitable for researching the influence of flora metabolites on the intestinal microecology, and is widely applied to the fields of intestinal health, drug screening, functional food development and the like.

The invention relates to the field of X-ray digital imaging and computer graphics, and discloses a multi-model virtual X-ray image generation method and related equipment, and the method comprises the steps: receiving rays emitted by an X-ray source simulating a real emission source to each pixel point of a detector; loading the model data to obtain a tetrahedral mesh data file, and extracting geometric information of the tetrahedral mesh data file; detecting intersection information of the ray and the tetrahedral mesh data file, and outputting intersection point data according to the intersection information; calculating the attenuation value of each ray penetrating through the loading model to reach a detector pixel by utilizing the Beer-Lanbo law according to the intersection point data; through the GPU acceleration technology, the calculation efficiency of virtual X-ray image generation is improved, and the calculation time is shortened, so that the requirement of real-time application is met, the imaging precision and authenticity are improved, the interpolation error is reduced, and the method is closer to actual radiation distribution.

The disclosed embodiment discloses a message transmission method, apparatus, device and storage medium, wherein the method comprises: obtaining a forward message from a first management unit in a container orchestration engine; determining a forwarding path corresponding to the forward message based on a preset direct routing table entry and a bridge; wherein the forwarding path is determined by a network card in the container orchestration engine; forwarding the forward message to a second management unit in the container orchestration engine according to the forwarding path corresponding to the forward message; wherein the forward message is used for the container in the first management unit to interact with the container in the second management unit. The disclosed embodiment can help reduce the performance loss of message forwarding, reduce the delay of message forwarding and the occurrence of failures during the interaction process, etc.

The present invention relates to a visualization method for data analysis, and belongs to the technical field of information visualization analysis. The visualization method comprises: obtaining the first node ratio of all nodes; the first node ratio is the ratio of the node value of the node to the sum of all node values; the center area of ​​the circle is cut in the order of the first node ratio from large to small, and the cutting method comprises horizontal cutting and vertical cutting, the vertical cutting is the radial cutting along the circle, and the horizontal cutting is the arc cutting along the circle: a. the node with the largest first node ratio is cut vertically; b. the aspect ratio of the horizontal cutting and the vertical cutting of the remaining nodes is calculated: cutting is performed according to the cutting method with the aspect ratio closer to 1. For areas of the same area, squares are easier to identify and interact with than bars. Therefore, the present invention combines the horizontal cutting and vertical cutting methods, and selects the corresponding cutting method by judging the aspect ratio before cutting, so that the identification and interaction of nodes are more accurate, and the user experience effect is improved.

The invention provides an augmented reality-oriented multi-modal emotion recognition method, device, product and system S1. The method comprises the following steps: collecting multi-modal data; s2, respectively obtaining feature vectors, used for emotion recognition, of each mode; and S3, performing modal availability detection, proxy modal feature confrontation generation and emotional state prediction on each modal by using a deep neural network EmoSynNet. By means of the technical scheme, the accuracy and adaptability of emotion recognition in the augmented reality environment can be improved.

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 present invention discloses an intelligent AR visual visualization system and method thereof, which relates to the technical field of AR visualization system, including a data acquisition sensor fusion module, an image processing module and an intelligent reasoning engine module, wherein the image processing module is used to process and identify the collected image data; the image processing module includes: a real-time image processing unit, a deep learning model unit and an object recognition unit. The present invention realizes the function of real-time processing of collected image data by designing an image processing module, solves the problem of computationally intensive processing of complex images, improves image quality and clarity, makes the visualization system perceive the environment more accurately, and ensures that the images seen by users in the visualized AR environment are more realistic and clear.

The invention discloses an interaction method and device and electronic equipment, and the interaction method comprises the steps: obtaining current interaction information and long and short-term memory information corresponding to the current interaction information, and the current interaction information and the long and short-term memory information belong to the same user; based on the long and short-term memory information, adjusting an interaction request included in the current interaction information so as to enable the interaction request to meet an expression requirement; determining an interaction path corresponding to the interaction request; and generating response information corresponding to the interaction request according to the interaction path.

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.

The present application provides an interaction method, device and storage medium. The method receives a trigger request sent by an input device through an execution component. The execution component corresponds to the input device. The state of the execution component is active, and the states of other execution components are inactive, so that only one input device is active (can trigger an event) at the same time, so that the UI only responds to one trigger at the same time, and then, according to the above trigger request, trigger signal collision detection and event processing are performed, and the processing result is displayed on the UI, which solves the problem of how the UI responds correctly to the interaction between multiple input devices and the UI in the XR scenario, and ensures that the UI interaction in the XR scenario is correct, fast and complete.

The present application discloses a glove wearing detection method, device, glove and readable storage medium. The finger part of the glove is provided with a first sensor and a second sensor, and the first sensor and the second sensor are provided on opposite sides of the finger part. When the glove is in the wearing state, one of the first sensor and the second sensor is opposite to the nail, and the other is opposite to the fingertip. The method comprises: obtaining a first signal through the first sensor and obtaining a second signal through the second sensor; when the first signal and the second signal meet the preset conditions, determining that the glove is in the first wearing state. The method can provide a basis for solving the problem of failure of human-computer interaction caused by the wearer wearing the data glove incorrectly.

The invention discloses a millimeter wave scene interaction method and device based on human sensing recognition and a terminal. The method comprises the steps that a first signal is received, a millimeter wave human sensing recognition model is initialized based on the first signal, an initial human sensing interaction model is obtained, and the initial human sensing interaction model comprises recognition parameters corresponding to a plurality of scene modes; receiving a second signal, and adjusting identification parameters corresponding to a plurality of scene modes in the initial human-sensing interaction model based on the second signal to obtain a target human-sensing interaction model; and receiving a signal for opening a target scene, and performing human sensing recognition interaction based on recognition parameters corresponding to the target scene in the target human sensing interaction model. According to the millimeter wave scene interaction method based on human sensing recognition provided by the invention, the user can accurately interact with the television through the millimeter wave module, and more comfortable experience is brought to the user.

The present invention discloses a gas stove intelligent control method based on biometrics and AI learning, which relates to the field of data processing technology; the method comprises: obtaining original audio data through an audio acquisition device, extracting current audio features from the original audio data, and verifying the user identity according to the current audio features; if the identity authentication is passed, parsing the current audio features into user text information and storing it; matching the context information of the current user text information; inputting the context information and the current user text information into a multi-round dialogue model to generate operation instructions and / or interactive text information; converting the interactive text information into interactive audio data and outputting it through an audio output device, and controlling the gas stove according to the operation instructions. The present invention combines the context information and the current user text information to generate operation instructions and / or interactive text information, so as to accurately identify the user's intention, realize intelligent decision-making and continuous interaction, thereby improving the user experience and reducing the risk of misoperation.