4965 results about "Equipment computers" patented technology

The invention relates to a question and answer model training method and device, a question and answer method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a training set is constructed, and cue words of a first category with a known attack category label and cue words of a second category with an unknown attack category label are arranged in the training set; training an initial reward model according to the cue word to obtain a reward model which is used for outputting a reward signal; inputting the cue word into the large language model, outputting to obtain predicted reply data, and inputting the predicted reply data and the cue word into a reward model to obtain a reward signal for the predicted reply data; and determining an updating strategy of the large language model according to the reward signal of the predicted reply data, and updating the large language model based on the updating strategy to obtain a trained question and answer model. By adopting the method, the recognition precision of the question and answer model for known attack types can be improved, and the omission ratio for unknown attack types can be reduced.

The present application provides a data processing method and apparatus, an electronic device, a computer readable storage medium and a computer program product. The method comprises: acquiring historical interaction information and a predicted interaction text corresponding to the historical interaction information; extracting a first acoustic feature and a first semantic feature of the historical interaction information, and extracting a second semantic feature of the predicted interaction text; performing fusion mapping on the basis of the first acoustic feature, the first semantic feature and the second semantic feature to obtain a first paralanguage feature; denoising initial noise on the basis of the second semantic feature and the first paralanguage feature to obtain a second acoustic feature of the predicted interaction text; and on the basis of the second acoustic feature, generating a voice signal corresponding to the predicted interaction text.

A control method for a support robot, the method comprising: in response to recognizing that a target object has an intent to require support, controlling a support robot to move toward the target object, and when the support robot moves to a target movement position, controlling a robot arm to move to a target joint position, wherein the target movement position and the target joint position are both determined on the basis of the relative position between the target object and a target sensor; and in the process of the robot arm moving to the target joint position or after the robot arm moves to the target joint position, when it is detected by means of a tactile sensor that an external force is applied to the robot arm, performing compliance control on the support robot. Further provided are a support robot, an electronic device, a computer storage medium, and a computer program.

The present application provides training and speech generation methods and apparatuses for a speech generation model, an electronic device, a computer-readable storage medium, and a computer program product. The method comprises: obtaining a first speech generation model; obtaining sample data of a plurality of modalities; on the basis of a prompt image sequence and speech text, respectively calling a plurality of encoders to perform encoding, so as to obtain a multi-modal encoding vector sequence; on the basis of the multi-modal encoding vector sequence, calling a decoder to perform decoding, so as to obtain decoded text; determining a probability distribution for the decoded text and the sample data of the plurality of modalities, and determining a target loss on the basis of the probability distribution; and on the basis of the target loss, updating parameters of the decoder and at least one of the encoders, wherein the updated decoder and the plurality of updated encoders are configured to form a second speech generation model, and the second speech generation model is used to generate target speech text corresponding to a prompt image sequence of a target object.

The invention relates to a task execution method and device, computer equipment, a computer readable storage medium and a computer program product, and relates to the technical field of artificial intelligence chips. The processing efficiency of execution of the calculation task and the communication task on the artificial intelligence chip can be improved. The method comprises the steps of obtaining a task flow; in the same task flow, enabling a first processing unit of the artificial intelligence chip to execute a calculation task, and enabling a second processing unit of the artificial intelligence chip to execute a communication task; wherein the calculation task does not depend on the communication task; the communication task depends on a corresponding computing task, and the communication task does not depend on a non-corresponding computing task.

The invention relates to the technical field of voice processing, in particular to a mixed voice processing method, electronic equipment and a computer readable medium. The method comprises the following steps: collecting mixed voice and environment influence parameters; carrying out bionic frequency domain analysis on the mixed voice to obtain low-frequency attenuation compensation characteristic data; performing multipath effect propagation analysis on the low-frequency attenuation compensation characteristic data through the environmental influence parameters to generate channel distortion data; performing time domain-frequency domain joint deconvolution processing on the mixed voice by using the channel distortion data to generate a direct sound component and a reflected sound component; performing adversarial training based on the direct sound component and the reflected sound component to generate anti-multipath speech enhancement data; and constructing a dynamic frequency compensation filter based on preset environmental acoustic characteristics. Through the multi-stage signal processing, frequency compensation and real-time optimization technology, the output quality of the mixed voice is improved.

The invention discloses an eye movement tracking method, an eye movement tracking device, eye movement tracking equipment, computer equipment and a storage medium. The method comprises the following steps: calculating calibration gaze information and a calibration pupil position according to first event data collected by an event camera; determining a region of interest based on the calibrated pupil position; processing second event data collected by the event camera according to the region of interest to generate region of interest data, the collection time of the second event data being later than the collection time of the first event data; according to the region-of-interest data, calculating a current fixation position offset; according to the calibration gaze information and the current gaze position offset, the current gaze information is determined, the calibrated pupil position is updated based on the current gaze position offset, the gaze direction, the moving direction and the moving distance of the pupil are accurately captured in real time by utilizing the characteristics of high time resolution and the like of the event camera, and the eye movement tracking effect is effectively improved.

The invention relates to an input rewriting method and device of an intelligent question answering system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring dialogue data input by a user for the intelligent question-answering system, and judging whether the dialogue data needs to be rewritten or not; generating a plurality of candidate rewriting results by adopting a preset rewriting model, a predefined rewriting template and a preset rewriting rule under the condition of determining that the dialogue data needs to be subjected to type rewriting processing; inputting the plurality of candidate rewriting results into a pre-trained rewriting scoring model to obtain rewriting scores corresponding to the plurality of candidate rewriting results; and according to the rewriting score, determining a target rewriting result from the plurality of candidate rewriting results, and inputting the target rewriting result into the intelligent question and answer system. By adopting the method, the answer generation accuracy of the intelligent question-answering system can be improved.

Embodiments of the present invention provide a method and apparatus for suppressing transient current of a grid-forming converter, a computing device, a computer-readable storage medium, and a computer program product. The suppressing method comprises: calculating first virtual impedance on the basis of an actual voltage instantaneous value of a point of common coupling; calculating second virtual impedance on the basis of an actual current maximum amplitude of the point of common coupling; and suppressing the transient current of the grid-forming converter on the basis of the first virtual impedance and the second virtual impedance. In this way, by combining the actual voltage instantaneous value of the point of common coupling and the actual current maximum amplitude of the point of common coupling, transient current can be suppressed at the moment when a fault occurs in a grid-forming converter, thereby avoiding misoperation triggering of a protection apparatus, and ensuring that the grid-forming converter can restore stable operation once the fault is removed.

The invention discloses an incidence relation establishing method, a version number generating method and device, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of computers.The method comprises the steps that write-in requests of N read-write nodes are obtained, each write-in request carries to-be-written data and a version number of the corresponding read-write node. And writing the to-be-written data carried by each write-in request into the corresponding logic address section, wherein the version number is used for distinguishing the to-be-written data carried by different write-in requests. Transmitting the to-be-written data to the physical address section for storage, and respectively establishing an association relationship between the physical address section of each piece of to-be-written data and the version number corresponding to each piece of to-be-written data. Different read-write requests can be distinguished by using the version number, multi-version storage of the data is realized, the corresponding data can be traced through the version number, and the processing capability of the distributed storage system for concurrent write requests is remarkably improved.

A robot control method, comprising: acquiring the current state parameters of a robot to be controlled at the current moment; calling a state regulator to determine, on the basis of a preset dynamics model and the current state parameters, basic control parameters for each joint of said robot; performing parameter filtering processing on the basic control parameters to obtain safety control parameters for each joint of said robot; on the basis of the safety control parameters for each joint, determining motion control parameters for each joint of said robot; and on the basis of the motion control parameters for each joint, controlling each joint of said robot at the current moment. Further provided is a robot control apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Computer vision techniques for configuring a robot having a robotic arm to interface with equipment to perform a task. The techniques include: capturing at least one image of the equipment: determining a position of a first alignment feature in the at least one captured image: determining, using the position of the first alignment feature in the at least one captured image, an alignment difference between a current alignment of the robot and the equipment with respect to a prior alignment of the robot and the equipment; and configuring the robot to interface with the equipment based on the alignment difference.

The invention relates to the technical field of unmanned aerial vehicle positioning, discloses an unmanned aerial vehicle accurate positioning method and device fusing multi-source positioning data, electronic equipment, a computer readable storage medium and a computer program product, and is used for solving the technical problem that accurate and stable positioning of an unmanned aerial vehicle cannot be realized in an indoor weak texture scene in the prior art. The method comprises the following steps: acquiring initial positioning data of an unmanned aerial vehicle in real time, the initial positioning data being at least from two information sources; constructing a positioning fusion algorithm based on an unscented Kalman filtering algorithm, evaluating the credibility of initial positioning data from each information source in real time, and calculating a positioning covariance matrix; and adjusting the fusion weight of each initial positioning data based on the positioning covariance matrix, and calling a positioning fusion algorithm to perform weighted fusion on the initial positioning data of each information source to obtain fusion positioning data of the unmanned aerial vehicle. According to the method, the positioning accuracy and stability of the unmanned aerial vehicle in a scene in which GPS signals are lacked and environment textures are weak can be improved.

The invention relates to a multi-agent cooperative recruitment method, system and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a target recruitment demand, and generating a task tree for the target recruitment demand through a preset dynamic decision-making mechanism in a main agent; determining a time sequence relationship and logic constraint information of each sub-task in the task tree, and calling target sub-agents in the sub-agents in sequence based on the time sequence relationship and the logic constraint information; the target sub-agent is used for executing the sub-task in the task tree; and generating a target recruitment task result until task execution results of the sub-tasks are obtained. By adopting the method, the recruitment efficiency can be improved.

The invention relates to a power system network security threat monitoring and early warning method and device, power equipment, a computer readable storage medium and a program product, and belongs to the field of power system network security. The method comprises the following steps: acquiring historical data and real-time data; obtaining first network feature data based on historical data, performing unsupervised learning training on the initial detection model, and taking abnormal data as second network feature data; marking the second network feature data as third network feature data; marking the first network feature data to obtain fourth network feature data to perform self-supervised learning training on the model, and obtaining first network attack features to construct a network attack feature library; performing semi-supervised learning training on the model based on the first network feature data and the third network feature data to obtain a detection model, and updating a network attack feature library; and detecting real-time data based on the detection model and the network attack feature library. The method can improve the accuracy of power system network security threat monitoring and early warning.

The invention relates to an image detection method and device for a mitral valve, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring multiple frames of images including a heart, and performing multi-scale feature extraction on the multiple frames of images to obtain multi-scale image features of each frame of image; for each frame of image, determining a mitral valve area of the heart in each frame of image according to the multi-scale image features of the image; determining the area of a mitral valve opening in each frame of image based on the mitral valve area of the heart in each frame of image; and generating a detection result of the mitral valve membrane of the heart according to the area of the mitral valve opening in each frame of image. By adopting the method, the problems that a traditional manual measurement method is time-consuming and is easily influenced by subjective factors and the like can be solved, the efficiency and accuracy of mitral valve evaluation are also remarkably improved, professional requirements on operators are reduced, and the flexibility and practicability of clinical application are enhanced.

A virtual object animation generation method and apparatus including obtaining a to-be-processed video, determining initial 3D pose information, two-dimensional (2D) pose information, and foot ground contact information of a target object in the to-be-processed video, determining pose change information between two adjacent video frames in the to-be-processed video based on the initial 3D pose information of the target object, determining to-be-corrected pose information of the target object based on the initial 3D pose information of the target object and the pose change information, performing correction processing on the to-be-corrected pose information of the target object based on the 2D pose information and the foot ground contact information of the target object, to obtain corrected pose information of the target object, and retargeting the corrected pose information to a virtual object by means of motion retargeting, to generate a virtual object animation video corresponding to the to-be-processed video.

Embodiments of the present application relate to speech processing technology. The embodiments of the present application provide a data processing method and apparatus based on artificial intelligence, an electronic device, a computer program product, and a computer readable storage medium. The method comprises: acquiring speech, and acquiring emotion data corresponding to the speech; performing first speech content feature extraction processing on the speech to obtain a first speech content feature corresponding to the speech, and performing emotion feature extraction processing on the emotion data to obtain emotion features corresponding to the speech; performing fusion processing on the first speech content feature and the emotion features to obtain a fusion feature corresponding to the speech; and performing animation parameter mapping processing on the fusion feature to obtain controller parameters corresponding to the speech, wherein the controller parameters are used for controlling a virtual object model to be presented in a target image, and the target image matches the content of the speech and the emotion data.

The invention relates to an application method of a GPU (Graphics Processing Unit) in design rule inspection in the field of integrated circuits, in particular to a layout design rule inspection method, system and equipment, a medium and a product. The layout design rule checking method comprises the following steps: inputting initial layout data, analyzing a design rule checking task to be executed, and marking the priority and complexity level of the task; the method comprises the following steps: dividing layout data into a plurality of data blocks according to regions on the basis of regional characteristics of the layout data, distributing tasks and corresponding data blocks to a GPU computing core according to task priorities and complexity levels, and distributing new data blocks according to the overall load condition of the GPU computing core after the GPU computing core completes data block processing, and repeating the steps until all tasks are executed, and outputting a layout design rule check result. The system, the computer equipment, the computer readable storage medium and the computer program product have the same beneficial effects as the layout design rule checking method.

Provided in the embodiments of the present disclosure are an optimal control method and system for a distribution network with a high penetration of distributed generators, and an electronic device, a computer-readable storage medium and a computer program product. The optimal control method is applied to a centralized control platform. The method comprises: on the basis of an association relationship between power outputs of distributed generators at various levels, performing multi-level forecasting on historical power generation data of each distributed generator, so as to obtain a day-ahead forecasted output value of each distributed generator; for each distributed generator, determining a day-ahead output adjustment value on the basis of historical power flow data and an optimal power flow optimization model; and sending to the corresponding distributed generator the output adjustment value and forecasted output value of each distributed generator as centralized control instructions, so that the distributed generator controls an output value during each control period within the day ahead on the basis of an acquired real-time output measurement value, the acquired output adjustment value and the acquired forecasted output value.

The invention belongs to the crossing field of computer technology and business management, and discloses a purchase return risk early warning and management method and system based on multi-mode intelligent auditing, electronic equipment and a computer readable storage medium. The method comprises the following steps: segmenting a PDF invoice image through an improved Apache PDFBox analyzer; a CLIP model and an OCR technology are combined, a cross-modal attention layer is used for correcting an OCR text, a multi-modal consistency difference value is generated, and invoice authenticity is judged; when a false invoice is detected, generating a standardized risk event, and extracting supplier, purchaser and transaction edge data from the graph database to construct a time sequence sub-graph; and identifying an abnormal mode based on the graph neural network, verifying the risk by using a time sequence risk scoring model, and executing a treatment strategy. According to the method, through multi-modal fusion, dynamic graph analysis and time sequence modeling, the problems of low false invoice detection precision, long abnormal fund tracing time consumption, risk prediction lag and the like in traditional auditing are solved.

Provided in the present application are a text processing method and apparatus based on artificial intelligence, and an electronic device, a computer program product and a computer-readable storage medium. The present application can be applied to the field of artificial intelligence and the field of large models. The method comprises: acquiring first integrated text, wherein the first integrated text is obtained by means of correcting first original text; splicing the first integrated text and the first original text to obtain spliced text; performing multi-dimensional evaluation processing on the spliced text to obtain an evaluation result corresponding to each dimension, wherein the multi-dimensional evaluation processing comprises at least two of the following: semantic evaluation processing, grammar evaluation processing and typesetting evaluation processing; and fusing evaluation results of at least two dimensions to obtain a correction evaluation result of the first integrated text.

The invention relates to a production equipment data processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a state matching database of a production system and equipment monitoring data of at least one piece of production equipment; wherein the state matching database comprises historical state data and abnormal positioning information, and the abnormal positioning information is generated according to the historical state data of the multiple pieces of production equipment and the equipment association relationship between the multiple pieces of production equipment; determining an operation state trend of the production equipment according to the equipment monitoring data and the historical state data; under the condition that the running state trend is the running abnormal trend, generating abnormal source information according to the running state trend and the abnormal positioning information, and performing abnormal data processing according to the abnormal source information; wherein the abnormal source information is used for representing an abnormal reason of the production equipment. The method can improve the abnormity sensing accuracy of the production system.

The invention relates to a memory management method and device applied to a server-free data center, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to a virtual memory application instruction, performing virtual memory allocation in a local computing resource pool to obtain a virtual address space; in response to the virtual address access instruction, acquiring cache information of the computing resource pool, and triggering missing page interruption under the condition that data corresponding to the virtual address is not hit in the cache information; the cache information comprises locally cached cache data and page table information; acquiring physical memory resources in a memory resource pool according to the virtual address and the page table information under the condition of triggering missing page interruption of the anonymous page; and updating the page table information and the cache information according to the physical memory resources. By adopting the method, the processing delay of the data center can be reduced while the decoupled memory management logic is used for improving the resource utilization rate.

Disclosed is a screen generation method performed by a computer device, including: generating a match screen between a first virtual object and at least one second virtual object, the first virtual object being controlled by a computer device, and the second virtual object being controlled by a user account; playing an object switching animation when the first virtual object satisfies a target condition, the object switching animation being used to render a generation effect of switching a target virtual part of the first virtual object to obtain a switched first virtual object; and generating a match screen between the switched first virtual object and the at least one second virtual object when the playing of the object switching animation ends, a confrontation mode corresponding to the switched first virtual object being different from a confrontation mode corresponding to the first virtual object before the switch.

The invention provides a hot upgrade method for a virtual machine monitor (VMM), which comprises the following steps of: pausing the operation of a virtual machine, storing state information of an original VMM, and reserving a kernel-based virtual machine KVM extension page table and a memory management structure of the original VMM; reserving a page global directory and a virtual memory area VMA corresponding to a virtual machine RAM area according to the memory management structure, and refreshing a process address space described by the memory management structure into a new VMM execution program so as to complete switching of the original VMM into the new VMM; and executing the new VMM, recovering the state information to the new VMM, and inheriting the KVM extension page table by the new VMM to recover the operation of the virtual machine. The invention further provides computer equipment, a computer readable medium and a computer program product.

An event management apparatus, which is communicably connected to a user terminal comprises a presentation control unit for presenting a plurality of first game media and a plurality of events using second game media, which correspond to the first game media to the user terminal; a deck creation control unit capable of creating a deck based on some of the first game media selected from the presented first game media; a registration control unit capable of registering user identification information of a user, the created deck, event identification information of one event selected from among multiple events, wherein the first media is virtual game media, and the second media is a real game media.

Disclosed in the present application are a data processing method based on a large language model, and a large language model, an electronic device, a computer-readable storage medium and a computer program product. The method is applied to a user terminal, wherein a large language model is deployed on the user terminal, and weight parameters of linear calculation layers of the large language model are pre-quantized into format data of an integer data type. The method comprises: acquiring input data; performing vector conversion on the input data by means of an embedding layer of a large language model, so as to obtain a floating-point query vector of a floating-point data type corresponding to the input data; converting the floating-point query vector into an integer query vector of an integer data type; and performing an operation by means of weight parameters of linear calculation layers and the integer query vector, so as to obtain a query result corresponding to the input data. By means of the solution provided in the present application, a large language model can be smoothly run on a user terminal, such that the user terminal can provide services for users without needing network connectivity, and can better ensure the privacy of the users.

The embodiment of the invention discloses a document retrieval method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: converting a query statement for indicating to retrieve a document into a query vector; the query vector is input into a strategy network to obtain a retrieval strategy output by the strategy network, and the retrieval strategy comprises a query keyword vector; if the detection strategy indicates that an answer is directly generated for the query statement, directly generating an answer corresponding to the query statement; and if the retrieval strategy indicates that deep information retrieval continues to be executed, inputting the query keyword vector into a high-level semantic execution network to obtain a target document which is output by the high-level semantic execution network and matched with the query statement. According to the embodiment of the invention, accurate response to different document retrieval requirements can be realized, and the accuracy and individuation level of document retrieval are improved.

The invention relates to a security authentication method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a key generation request sent by target equipment; if it is determined that the key generation request is legal, generating a trust identifier and a security certificate of the target device, obtaining an identifier verification request through the trust identifier, and sending the identifier verification request to an authentication server, so that the authentication server verifies the trust identifier to obtain an access token corresponding to the target device; receiving a message returned by the authentication server, and processing an access token carried by the message to obtain a trust identifier; and writing the security certificate into the target protection area, and sending the trust identifier and the security certificate to the target equipment, so that the target equipment is registered in the authentication server. By adopting the method, the identity verification of the equipment and the control of an encryption communication mechanism are realized, and the safety protection performance in a communication system is further improved.