324results about How to "Accurately determine" patented technology

The embodiment of the invention discloses a speech recognition method and a related device, and at least relates to a speech recognition technology in artificial intelligence, speech data to be recognized are used as input data of a time delay neural network in an acoustic model, and an output layer of the time delay neural network comprises acoustic modeling units corresponding to a plurality of syllables respectively, so that the speech recognition efficiency is improved. And the syllable probability distribution corresponding to the voice frames included in the voice data can be obtained by taking the syllables as the recognition granularity through the time delay neural network. When syllable recognition is carried out through the output layer, auxiliary judgment can be carried out on the syllables to which the voice frames belong on the basis of pronunciation rules in combination with front and back syllable information of the voice frames, so that more accurate syllable probability distribution is output. Moreover, since the syllables are generally composed of one or more phonemes, the method has higher fault-tolerant capability, not only can more accurately determine the speech recognition result based on the probability distribution of the syllables, but also has low requirements for the quality of the speech data to be recognized, and effectively expands the application scenarios of the speech recognition technology.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention discloses a method and a device for determining a maximum submerging range and a nonvolatile storage medium, and relates to the field of remote sensing data processing. The method comprises the following steps: determining first distribution information of normalized difference water body indexes of a target area in a first time period; second distribution information of the normalized difference water body index of the target area in a second time period is determined, and the second time period is a time period after the flood event occurs in the target area; comparing the second distribution information with the first distribution information to obtain difference distribution information of the normalized difference water body index of the target area in the second time period; and determining the maximum submerging range in the target area according to the difference value distribution information. The technical problem that the maximum flood inundation range cannot be accurately determined when the flood inundation range is determined directly based on remote sensing data in related technologies is solved.

The invention provides a large-view-field-oriented dispensing method and system, and the method comprises the steps: obtaining imaging parameters of an industrial camera above a dispensing machine, controlling a dispensing head to carry out sparse sampling in the height direction, carrying out grid scanning at a plurality of discrete height layers, and obtaining object image mapping relation matrixes corresponding to the discrete height layers; acquiring the surface height of a to-be-dispensed workpiece, selecting the object image mapping relation matrix of the discrete height layer which is closest to the surface height of the workpiece and is smaller than or equal to the surface height of the workpiece as an initial object image coordinate conversion matrix of the workpiece, acquiring the image coordinate of the current dispensing point of the workpiece, and determining the dispensing point of the workpiece according to the height difference between the surface height of the workpiece and the selected discrete height layer. Obtaining a physical coordinate offset according to imaging parameters of the industrial camera; the initial position of the dispensing point is determined through sparse sampling, the offset of the dispensing point based on the initial position is determined based on the imaging geometrical relationship, the dispensing point can be rapidly and accurately positioned, and the efficiency and precision of dispensing operation are improved.

The invention relates to a carbon sink quantification method and system based on multi-source data fusion and carbon flux large model inversion, and belongs to the technical field of meteorological monitoring, and the method comprises the steps: obtaining multi-source data of a target area and historical inversion data of a carbon flux large model; based on the ground carbon flux detection data and the historical inversion data of the carbon flux large model, performing dynamic calibration and parameter optimization on the pre-trained carbon flux inversion large model in the target region to obtain a region optimization model; inputting carbon-related data and meteorological and soil auxiliary data inverted by satellite remote sensing into the regional optimization model, and performing inversion to generate space-time continuous lattice point carbon flux data of the target region; based on the space-time continuous lattice point carbon flux data of the target region and the lattice point area of the target region, determining the actual carbon sink amount of the target region; and determining the net carbon sink increment of the target area based on the actual carbon sink amount of the target area, the carbon sink amount of the target area under the baseline scene and the carbon leakage evaluation value, thereby improving the carbon sink monitoring effect.

This application proposes a method, apparatus, baking equipment, and storage medium for determining the baking stage. It can extract baking state features of the baking target from an image of the baking target, and then determine the relationship between the baking stage of the baking target and each set baking stage based on these features. The relationship between the baking stage of the baking target and each set baking stage includes the baking stage of the baking target being before any set baking stage, or the baking stage of the baking target being after any set baking stage. Finally, based on the relationship between the baking stage of the baking target and each set baking stage, the baking stage of the baking target is determined. This achieves the purpose of automatically determining the baking stage of the baking target, avoiding the influence of the baking personnel's experience and skill level on the baking quality, and ensuring the quality of the baked target.

This invention provides a method for detecting adhesive buildup on the surface of a running track, comprising: acquiring an HSV image corresponding to the running track to be tested; performing a first image processing on the HSV image to obtain a first intermediate image identifying a feature region; the feature region consisting of undifferentiated adhesive buildup areas and interference areas; performing a second image processing on the HSV image to obtain a second intermediate image identifying interference areas; and determining the target information of the adhesive buildup on the surface of the running track to be tested based on the first and second intermediate images. A running track surface adhesive buildup detection device, a computer device, and a storage medium are also provided. Using the HSV color model, and through relevant image processing on the HSV image, the target information of the adhesive buildup on the surface of the running track to be tested is finally determined; compared with manual visual inspection, this method can greatly improve detection efficiency, reduce labor costs, and accurately determine the target information such as the area of ​​the adhesive buildup on the surface.

The present disclosure relates to a kind of fingerprint identification device, electronic equipment, the device includes control module, fingerprint identification module, storage and calculation module and judging module, control module is connected to fingerprint identification module, for controlling the working time of each fingerprint identification component in fingerprint identification module, fingerprint identification module is used to carry out fingerprint image acquisition, output multiple fingerprint signals corresponding to fingerprint image;The storage and calculation module is connected to the fingerprint identification module, multiple weights are stored in the storage and calculation module, the storage and calculation module is used to determine the multiple feature vectors of fingerprint image according to the multiple fingerprint signals and the multiple weights;The judging module is connected to the storage and calculation module, for judging whether fingerprint identification succeeds according to the feature vector.This embodiment of the present disclosure can realize the efficient, low cost of fingerprint image acquisition, and can quickly and accurately realize the determination of the feature vector of fingerprint image and fingerprint matching, with the advantages of low cost, less resource consumption.

The invention discloses a target state parameter determination method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the target state parameter determination method comprises the steps: obtaining a target face video stream of a target object outputted by an image collection module, obtaining a light supplementing state signal output after the light supplementing module supplements light to the space where the target object is located; determining a light supplement condition corresponding to each frame of image in the target face video stream according to the light supplement state signal, and determining a reference light intensity offset of a forehead area and a nose root area in each frame of image according to the light supplement condition corresponding to each frame of image; and according to the reference light intensity offset of the forehead region and the nose root region in each frame of image, pixel-by-pixel correction is performed on the pixel brightness value of each frame of image to obtain a corrected video stream, and a target state parameter of the target object is determined according to the corrected video. By adopting the technical scheme, the problem that the state parameters of the target object cannot be accurately determined is solved.

The application provides a kind of intersection vehicle passing data processing method and computer equipment, it is related to signal data processing field.The method comprises: obtaining the historical lane vehicle passing data of each import direction in preset unit time period at preset intersection, according to the historical lane vehicle passing data of each import direction, determine the multiple target signal periods of traffic signal light at preset intersection, according to multiple target signal periods, time period division is carried out to preset unit time period, obtain the multiple time periods of preset unit time period, each time period corresponds to the same target signal period, for in each time period in the preset unit time period of future time period, the same target signal period and phase time are used to control traffic signal light.The method of the application, by historical lane vehicle passing data, determine multiple target signal periods, further determine the target signal period corresponding to each time period, facilitate subsequent control of traffic signal light according to the target signal period corresponding to each time period.

A kind of detection method and device of fake APP, terminal, the method includes: determining training data;Keyword extraction is carried out to the brief introduction of each pair of target APP and the brief introduction of suspected APP, and the data vector of each keyword is determined;Determine the weight value of each keyword, and the data vector of each keyword in the target APP is weighted based on the weight value Operation is carried out to obtain target APP data vector, and obtain suspected APP data vector;The vector comparison result of target APP data vector and suspected APP data vector is calculated, the absolute value of the vector comparison result is determined as first data vector, and the square of the vector comparison result is determined as second data vector;Obtain the training text vector of the pair of target APP and suspected APP;Training fake detection model.The present application can enhance the association between keywords in model training phase, reduce the misjudgment rate.

The application relates to the technical field of artificial intelligence, is suitable for the medical and health field and the financial field, and provides a robot fault analysis method, equipment and a storage medium.The method comprises the following steps: acquiring task data collected when a robot executes a plurality of subtasks in a to-be-analyzed task, the task data comprising a plurality of image data and a plurality of sensor data; determining a target subtask that fails to be executed from the plurality of subtasks based on the plurality of image data corresponding to each subtask; determining environment change data when the robot executes each target subtask based on the plurality of image data corresponding to each target subtask; determining parameter change data when the robot executes each target subtask based on the plurality of sensor data corresponding to each target subtask; and determining the fault cause of the failure of each target subtask based on the environment change data and the parameter change data when the robot executes each target subtask.The application aims to improve the accuracy of robot fault analysis.

This application discloses an operation control method, apparatus, medium, and equipment for pumped storage power stations. The method includes: obtaining the usage willingness of each bidding entity for each pumped storage power station, the usage willingness being determined based on the load information and renewable energy output information of each bidding entity; determining the equity parameters of each bidding entity using each pumped storage power station based on the power allocation ratio of each bidding entity to each pumped storage power station and the usage willingness of each bidding entity; determining the target bidding entities to which each pumped storage power station is allocated based on the equity parameters of each bidding entity; determining the pumping plan of each pumped storage power station based on the load information of the target bidding entities to which each pumped storage power station is allocated; and controlling each pumped storage power station to operate according to the corresponding pumping plan. This application can reasonably and accurately control pumped storage power stations.

The application provides a display method and device of mark information in a game, an electronic device and a storage medium. The display method comprises: in response to a box selection operation, determining a box selection region on a graphical user interface, and determining a game element to be marked located in the box selection region; generating mark information for the game element to be marked according to position information of the game element to be marked in a game scene; and displaying the mark information. In the application, the game element to be marked is accurately selected by the box selection method, that is, the game element whose position overlapping area with other game elements in the game scene is greater than a first preset area threshold or is in a moving state. The mark information in the game scene is accurately determined according to the position information of the game element to be marked in the game scene, and the mark information is displayed, which helps to improve the accuracy of marking and the efficiency of human-computer interaction.

The present disclosure relates to the technical field of audio processing, and provides an acoustic transfer path determination method, device and electronic equipment. The method comprises: acquiring a first audio signal played by a playing device and a second audio signal collected by a recording device after the first audio signal propagates in a sound field, taking one of the two as a to-be-synchronized audio signal and the other as a reference audio signal; determining a clock offset range based on the clock frequencies of the to-be-synchronized audio signal and the reference audio signal; performing sampling rate conversion on the to-be-synchronized audio signal based on a plurality of clock offsets in the clock offset range, to determine a first clock offset corresponding to a frequency domain coherence satisfying a preset condition based on the frequency domain coherence between a plurality of converted to-be-synchronized audio signals and the reference audio signal; performing sampling rate conversion on the to-be-synchronized audio signal based on the first clock offset to obtain a synchronized audio signal; and determining an acoustic transfer path based on the reference audio signal and the synchronized audio signal.

The invention provides an adjustable load capacity analysis, regulation and control method for a virtual power plant, and relates to the technical field of power system operation and control, and the method comprises the following steps: S1, multi-source data collection and processing: collecting electrical parameters, non-electrical parameters and power grid dispatching instructions of various adjustable loads; s2, classifying adjustable loads, and dividing the adjustable loads into a plurality of grades; s3, constructing a multi-dimensional adjustable load capacity evaluation index system; s4, weighting calculation: carrying out weight calculation on the multi-dimensional adjustable load capacity evaluation index system based on an improved particle algorithm; s5, establishing a dynamic hierarchical collaborative regulation and control strategy, and establishing the dynamic hierarchical collaborative regulation and control strategy according to the power grid dispatching demand type; s6, a prediction model is constructed, and a load response prediction model is constructed; s7, executing an instruction; according to the multi-dimensional characteristic, powerful support is provided for accurate regulation and control, a multi-dimensional evaluation index system is constructed, the load capacity is comprehensively evaluated, and optimal configuration of resources is achieved.

The invention provides a data processing method and device, equipment, a medium and a program product, which can be applied to the field of intelligent logistics. The method comprises the following steps: in response to a received target order, carrying out order positioning on the target order according to a cargo state of a to-be-distributed cargo in inventory data in a warehouse to obtain a cargo positioning quantity of each storage location in the warehouse; performing minimum value calculation on the order distribution quantity obtained after distribution of the target order and the cargo positioning quantity of each storage position, and determining a distribution matching result corresponding to each storage position; the distribution matching result of each storage position is correspondingly matched with the goods picking number of each storage position returned after goods picking in the warehouse based on the goods positioning number, and the distribution difference of each storage position is determined; and hedging operation is performed on the plurality of distribution differences to obtain a target difference, and the target difference is used for representing inventory abnormal data generated after the target order is processed.

The invention discloses a three-dimensional model construction method and device, a storage medium and computer equipment, and relates to the technical field of financial science and technology and the technical field of digital medical treatment. Comprising the following steps: acquiring a two-dimensional image, and dividing the two-dimensional image into a plurality of panes; predicting a local approximate plane normal in a view angle range corresponding to each pane, determining a three-dimensional modeling starting point, determining a three-dimensional coordinate of the three-dimensional modeling starting point, taking the pane where the three-dimensional modeling starting point is located as a starting point pane, and taking the three-dimensional coordinate of the three-dimensional modeling starting point as a starting point center coordinate of a starting point local approximate plane corresponding to the starting point pane; determining a neighborhood pane adjacent to the starting point pane, and determining a neighborhood center coordinate of a neighborhood local approximate plane corresponding to the neighborhood pane based on the starting point center coordinate, a local approximate plane normal of the starting point pane and a local approximate plane normal of the neighborhood pane; and based on the starting point center coordinate and the neighborhood center coordinate, splicing the starting point local approximate plane and the neighborhood local approximate plane to obtain a three-dimensional model.

The invention discloses a fatigue analysis method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle testing. The fatigue analysis method comprises the following steps: acquiring three-dimensional model data of a mine truck, and constructing a whole vehicle finite element model according to the three-dimensional model data; determining multi-working-condition mechanical response data of the mine truck under a target working condition based on the whole vehicle finite element model, generating a stress analysis result according to the multi-working-condition mechanical response data, and determining a target weak structure of the whole vehicle frame through the stress analysis result; acquiring working condition data of the target weak structure and a preset key part under an actual working condition, and determining a target load spectrum according to the working condition data; and determining structural mechanical response data corresponding to the target load spectrum based on a preset rack control system, and determining the fatigue life of the mine truck according to the structural mechanical response data. According to the embodiment of the invention, the accuracy of determining the fatigue life is improved.

The application relates to a vehicle underbody living body detection method, a computer program product, an electronic device and a vehicle. The detection method comprises the following steps: taking a vehicle underbody image as a reference image when the vehicle is powered off; determining a real-time image with a difference region as a to-be-detected image based on the reference image and the real-time image of the vehicle underbody; determining feature detection information of the to-be-detected image, and realizing identification of a vehicle underbody living body and / or determination of a vehicle underbody living body state based on the feature detection information. Based on this, the application can improve the pertinence and efficiency of vehicle underbody detection, and guarantee the accuracy and effectiveness of vehicle underbody living body detection results.

This invention provides a method for assessing the weight of ice accretion on power transmission lines based on multi-source data fusion and 3D reconstruction technology. By deploying image acquisition devices at four shooting positions on the target section of the transmission line and acquiring environmental parameters, the current ice accretion type can be accurately identified, and the corresponding ice density can be determined. Furthermore, based on the image data from the four shooting positions, the overall structure of the transmission line and ice accretion is reconstructed in 3D, thereby accurately determining the overall volume of the ice accretion on the target section. This reduces the error in volume assessment caused by the irregular shape of the ice accretion, thus accurately determining the ice volume of the target section. Finally, the accurate overall ice accretion mass and ice accretion mass per unit length of the target section are calculated, providing accurate data support for subsequent ice condition warnings, ice melting decisions, and line condition maintenance.

According to embodiments of this disclosure, a method, apparatus, and medium for pattern processing are provided. In the method, parameter information related to a lithography machine and a wafer in a lithography process is acquired. The lithography machine is used to form a wafer pattern on the wafer based on a target pattern. Based on the parameter information, a target state representation corresponding to the target pattern is determined from a plurality of candidate state representations indicating the electron beam scattering state. Based on the target state representation, a correction result for the target pattern is determined. In this manner, the state representation of the electron beam scattering state corresponding to the target pattern can be determined based on the parameter information of the lithography machine used and the parameter information of the wafer used for lithography, thereby simulating the lithography process more accurately. This ensures that the state representation used for lithography process simulation can more accurately describe the scattering state of the electron beam used by the lithography machine, improving the reliability of the simulation process and thus more accurately determining the correction result for the target pattern.

The application relates to a method and device for determining the outgassing characteristics of internal materials of wafer-level vacuum packaged devices. The method comprises: obtaining a target pressure; wherein the target pressure is the internal pressure of a test sample, and the test sample is a wafer-level vacuum packaged micro-electro-mechanical system (MEMS) device; under the condition that the test sample is placed in a test device and the internal pressure of the test device is the target pressure, the target characteristic parameters of the test sample at various test temperatures are obtained by adjusting the temperature of the test device; and the outgassing characteristics of the internal materials of the test sample are determined according to the target characteristic parameters of the test sample at various test temperatures. The method can accurately determine the outgassing characteristics of the internal materials of wafer-level vacuum packaged devices.

The invention discloses an oil-water interface depth determination method and related equipment, and relates to the technical field of oil-gas exploration, and the method comprises the steps: obtaining formation pressure test data and formation test data of a target oil-water system; fluid density under the formation condition is obtained according to the formation testing data, and the straight slope is obtained through calculation; the slope of the straight line is used as a constraint value, in combination with formation pressure test data, a straight line intercept is determined, fluid fitting lines are obtained, and the fluid fitting lines comprise a water layer fitting line and an oil layer fitting line; and determining the oil-water interface depth of the target oil-water system according to the intersection point of the water layer fitting line and the oil layer fitting line. According to the method, the fluid density under the formation condition is obtained by comprehensively utilizing the formation pressure test data and the formation test data, and the oil-water interface depth of the target oil-water system is accurately determined in combination with a scientific fitting analysis method.

This application relates to the field of artificial intelligence, and more particularly to a method, apparatus, device, and program product for controlling document editing. The method includes: receiving a document editing request from a large language model agent; if no exact matching sequence is found in the target file for the content to be replaced, calculating the similarity between the content to be replaced and the sequence in the target file, and locating the best matching segment based on the similarity; performing a difference analysis between the content to be replaced and the best matching segment and generating an error diagnosis report including difference information; returning the error diagnosis report to the large language model agent, guiding the agent to correct the document editing request. This method finds the best matching segment for sequences that fail to match precisely and generates an error diagnosis report including difference information, facilitating rapid location of differences, reducing invalid attempts, and improving the agent's repair efficiency.

The embodiment of the present application provides a parcel image segmentation method, device, system and image processing equipment, the method is applied to the image processing equipment in the security inspection system, the security inspection system further includes a security inspection equipment, the security inspection equipment has a detector and a detection unit, the detection unit includes multiple groups of detectors, the detection range of the multiple groups of detectors covers the space of the preset height perpendicular to the conveying belt transmission direction of the security inspection equipment, and the method comprises the following steps: obtaining parcel data detected by the detector in the operation process of the security inspection equipment and a detection result of the detection unit; in the case that the detection result indicates that there is no parcel on the conveying belt, determining parcel data in the parcel data based on the difference between the parcel data and reference data; and based on the parcel data, the parcel data is segmented to obtain a parcel image. The embodiment of the present application can improve the accuracy of parcel image segmentation and reduce the loss of parcel data.

The embodiment of the invention provides a method and device for detecting a text abstract generated by a large model, a medium and equipment. The method comprises the steps of obtaining target data, and determining a data mode of the target data; if the data modality is a video or audio modality, extracting a target text corresponding to the target data, and generating a first text abstract of the target text through a first large model, the first text abstract comprising a plurality of time intervals divided according to the target text and respective content abstracts of the plurality of time intervals; according to the plurality of time intervals, extracting respective text contents of the plurality of time intervals from the target text; determining whether the text content of each time interval is matched with the content abstract of the time interval or not through a second large model; and determining whether unreal content exists in the first text abstract or not according to whether the text content of each time interval is matched with the content abstract or not. Through the method, whether unreal content exists in the text abstract generated by detecting the large model or not can be efficiently and accurately determined.

The utility model relates to the technical field of valve core machining, and discloses a precision instrument lathe for a faucet valve core, which comprises a lathe body, a cutter head is arranged on the top surface of the lathe body, a placing block is fixedly connected to the top surface of the cutter head, and a dismounting assembly is arranged on the top surface of the placing block. An infrared positioner is connected to one side of the dismounting assembly in an inserted mode, and a hydraulic rod is fixedly connected to the interior of the placing block. According to the precision instrument lathe for the faucet valve element, through the arrangement of the clamping assembly, when the precision instrument lathe is used, a rotating block is rotated, the rotating block rotates to drive an inserting rod to move, and the inserting rod is pulled out of the interior of a cutter, so that the cutter can be replaced, various machining operations can be achieved on the same lathe, and the machining efficiency is improved. The machining requirements of different parts are met, the universality and flexibility of a machine tool are improved, meanwhile, the phenomenon that a cutter is abraded after being used for a long time can be avoided, and therefore the production quality of the device is improved.

The invention discloses a data processing method and a related device, and the method comprises the steps: obtaining a first backlog data volume of a message queue at a first time, and obtaining a second backlog data volume of the message queue in a first time period, the first time period being a time period before the first time; determining whether the message queue satisfies a thread pool adjustment condition based on the first backlog data volume and the second backlog data volume; under the condition that the message queue meets the thread pool adjustment condition, adjusting the thread number of a current thread pool of the message queue to obtain a first thread pool of the message queue; and processing the data in the message queue based on the first thread pool. According to the method, the running state of the message queue can be tracked in real time, so that the adjustment opportunity is accurately determined, the thread pool of the message queue is accurately and dynamically adjusted, and abnormity of the message queue is avoided.