90results about How to "Resolve accuracy" patented technology

The invention provides a river flow online measurement and calculation method based on multi-source data fusion, and belongs to the technical field of river flow measurement. A Bayesian neural network and active learning collaborative hydrological memory reconstruction model is adopted to carry out high-confidence data interpolation on a sensor failure period and quantify uncertainty, fractional calculus is introduced to model a river memory effect, and flow evolution is analyzed through a fractional order water balance equation. And selecting a steady-state or non-constant flow calculation mode according to the flow change rate, inverting an optimal flow field for the non-constant flow by adopting a four-dimensional variational data assimilation method in combination with regularization constraint and time smoothing constraint, and outputting a flow measurement result and an uncertainty quantitative index. The technical problems that flow measurement and calculation data are missing and accurate interpolation is difficult due to sensor failure under the extreme hydrological condition are solved.

The disclosure provides a large model-based quality inspection method, device, equipment, storage medium and program, relating to the technical field of data processing, specifically relating to artificial intelligence, deep learning and large language model technology, which can be applied in the field of AI medical technology, wherein the method comprises: obtaining to-be-inspected data of a target platform and a target quality inspection prompt template; wherein the target quality inspection prompt template comprises quality inspection task instructions and quality inspection question classification content; splicing the to-be-inspected data and the target quality inspection prompt template to obtain a target quality inspection prompt; inputting the target quality inspection prompt into a target large model to automatically inspect the to-be-inspected data according to the target quality inspection prompt through the target large model, and obtaining first quality inspection data. The embodiment of the disclosure can reduce the artificial quality inspection cost of platform quality inspection and improve the efficiency and accuracy of platform quality inspection.

This invention discloses a method and system for monitoring the state of hybrid energy storage batteries based on big data, belonging to the field of battery state monitoring technology. The method includes: collecting battery state data and preprocessing the data; obtaining a high-dimensional feature vector based on the preprocessed data through dynamic weight adjustment and fusion; constructing a battery state prediction model based on a long short-time memory network model; obtaining a battery health value based on the high-dimensional feature vector through the battery state prediction model; and monitoring the battery health state in real time based on the battery health value. This invention significantly improves the accuracy of battery health value prediction by dynamically adjusting weights and fusing to generate a high-dimensional feature vector, achieving real-time monitoring and fault early warning of battery health state under complex operating conditions, and effectively improving the safety, reliability, and operational management efficiency of hybrid energy storage systems.

This invention relates to the field of intelligent water control terminal control and electromagnetic compatibility processing technology, and particularly to an anti-interference water control terminal control method and system with abnormal alarm. The method includes: reading raw signals in parallel from water shortage, anti-magnetic, and flow sampling interfaces; processing and mapping these signals into alarm events and writing them into a hardware alarm event set; performing board-level partitioning layout based on the information in the event set to generate a partitioning layout configuration set; configuring decoupling units, laying grounding wires and copper plating, and setting multiple grounding nodes accordingly; assigning power supplies to each detection interface to an analog power path and power supplies to the main control and communication modules to a digital power path, configuring filtering units and isolation nodes; laying grounding copper foil and vias for the crystal oscillator, and configuring metal shielding structures for key modules; reading alarm signals based on the obtained configuration set and encapsulating them into alarm messages, uploading them via Bluetooth or 4G channels, receiving management results, and generating a terminal alarm processing status. This invention improves the anti-interference capability and alarm reliability of the water control terminal through event-driven board-level layout and power supply link isolation.

The invention relates to the technical field of medical informatics, in particular to a pain management-oriented physiological signal real-time monitoring and intervention system, which comprises a determination module for determining the abnormal tendency of a stimulation window updated in real time at each updating moment to obtain an abnormal tendency sequence; the determination module is also used for determining similar fluctuation segments in the abnormal tendency sequence; the determination module is also used for determining an abnormal process factor of the physiological sensing signal at the current moment based on the abnormal tendency difference value and the length of each similar fluctuation section; the determination module is also used for determining a trigger factor for evaluating the abnormal pain state at the current moment according to the abnormal process factors of each physiological sensing signal at the current moment and the previous moment, and performing normalization processing on the trigger factor to obtain a normalized trigger factor; and the intervention module is used for carrying out visualization and intervention on the pain degree of the target user based on the normalized trigger factor. According to the invention, the physiological signal abnormity identification accuracy and sensitivity are improved.

Embodiments of the present application provide an identity authentication method and device, a storage medium and an electronic device. The method comprises: in response to a play instruction associated with a target action, obtaining K frames of face images to be processed, and then inputting the K frames of face images into a pre-trained recognition model respectively to obtain K recognition results, wherein each of the K recognition results comprises a probability of whether a frame of face image input is a real face and a probability of whether a target part of the frame of face image is in a target state, and the target part comprises different face parts performing different target actions; and then performing authentication on a face to be recognized according to the K recognition results to obtain a target authentication result, wherein the target authentication result comprises whether the face to be recognized is a real face and whether the face to be recognized performs the target action. Through the present application, the problem that identity authentication is too dependent on key point positioning accuracy in related art, resulting in low accuracy and efficiency of identity authentication, can be solved.

This invention relates to the field of medical device technology and provides a method, system, and medical device for measuring peak cough flow rate. The method includes real-time acquisition of inspiratory and expiratory flow rate signals and airway pressure signals; monitoring changes in the expiratory flow rate signal to identify burst cough events and lock a cough analysis window; calculating the difference in inspiratory and expiratory flow rates within the cough analysis window to obtain a baseline cough flow rate sequence; calculating the airway pressure signal within the cough analysis window using a system leakage factor to obtain a leakage flow rate compensation sequence; determining coefficients based on the ratio of tubing and patient airway resistance parameters and multiplying the expiratory flow rate signals to obtain a tubing resistance compensation sequence; superimposing the above sequences to obtain a corrected flow rate sequence; and extracting extreme value features and evaluating the effectiveness of the corrected flow rate sequence generated after a preset number of iterations to determine the peak cough flow rate value. This invention solves the problems of inaccurate and inefficient measurement results in existing peak cough flow rate measurements.

Embodiments of the present application disclose a serverless function tracking method, system, device and storage medium, wherein the method comprises: a proxy subsystem determines a hierarchical function association graph corresponding to each architecture level in the serverless architecture based on a function keyword; in the case of meeting a preset data sending condition, the proxy subsystem sends the hierarchical function association graph to a server subsystem; the server subsystem traces the application trace of the function between different architecture levels through the hierarchical function association graph, and obtains a function cross-layer traceability graph. The technical scheme of the embodiments of the present application solves the problem that in the prior art, it is difficult to uniformly track and accurately trace the cross-layer security events in the serverless architecture, can associate and track the function events across the levels in the serverless architecture, provides complete attack traceability analysis data for serverless function tracking, so as to meet the engineering requirements of security audit, compliance evidence and emergency response.

The invention provides a tumor medical mode recognition method and system based on image detection, and relates to medical image processing and artificial intelligence auxiliary diagnosis, and the method comprises the steps: carrying out the partitioning of a digital pathological section image, evaluating the color distribution, light and shade contrast and microstructure geometric features of each block, and generating a local quality evaluation graph to recognize a quality damaged region; a local diagnosis judgment graph is generated based on tumor recognition model analysis, and the diagnosis confidence of the model on each region is visually reflected; performing correlation analysis on a low-confidence area and a quality damaged area in the two images, if the overlapping degree reaches the standard, generating quality correlation interpretation, and determining that uncertainty is derived from image quality; finally, an interpretability report containing the original image, the two evaluation images and interpretation is generated, a clear basis is provided for doctors, traditional compensation defects are avoided, recognition reliability and transparency are improved, precise clinical decision making is assisted, and practical value is achieved.

The invention discloses a semi-automatic puncture device based on an ultrasonic image. The semi-automatic puncture device comprises a puncture support, an ultrasonic detection device, a control module, a puncture needle and a pushing mechanism. The puncture support is provided with a vertical part, a transverse part and an inclined part, the vertical part is vertically arranged at one end of the transverse part, and the inclined part is obliquely arranged at the other end of the transverse part by 45 degrees. The ultrasonic detection device is arranged on the vertical part and is used for acquiring an ultrasonic image of the arm of the patient in real time. The control module is arranged on the top face of the inclined part, the pushing mechanism and the puncture needle are both arranged on the bottom face of the inclined part, and the pushing mechanism is used for pushing the puncture needle to conduct telescopic puncture along the inclined part. After the central axis of the ultrasonic image is aligned with the artery of the patient, the control module triggers the pushing mechanism to push the puncture needle to advance by 45 degrees so as to perform puncture. The puncture accuracy and safety can be improved, and the operation cost and the medical risk are reduced.

The application discloses a kind of quick establishment systems of large aperture spliced telescope mirror numerical control processing model, including mirror design module, accurate coordinate calculation module, parameterized drive modeling module and check and confirmation module.Mirror design module is used to define the multi-level coordinate system of main mirror coordinate system, mirror assembly body coordinate system, edge sensor coordinate system and edge sensor slot coordinate system, and define optical surface curve equation, back spherical surface structure, outer contour and mirror gap geometric rule;Accurate coordinate calculation module is calculated according to the coordinate system and geometric rule, and the accurate coordinate point data of mirror is batch calculated;Parameterized drive modeling module generates three-dimensional solid model;Check and confirmation module is used to verify the accuracy of coordinate calculation result and the compliance of three-dimensional model to optical common surface, edge sensor interface slot coplanar and other design principles.The application can realize the batch automation modeling and quick iteration of telescope spliced mirror surface mirror, and improves modeling efficiency and precision.

The application discloses a roof clip mounting and detecting system, which comprises a vehicle type information device, a vehicle type information display device and a tool table, wherein the vehicle type information device is in communication connection with the vehicle type information display device and the tool table; the vehicle type information device is used for obtaining pre-configured vehicle type information and transmitting the vehicle type information to the vehicle type information display device; the vehicle type information display device is used for obtaining vehicle type information of a target vehicle and transmitting the vehicle type information to a display device for display; and the tool table is used for placing at least one type of roof clip and a jig and generating regional light prompt in response to the vehicle type information of the target vehicle. Through the technical scheme, the roof clip can be mounted by the staff, and the mounting condition of the roof clip can be detected after the roof clip is mounted, so that the accuracy and work efficiency of the roof clip mounting and detecting work are improved.

The application discloses a document generation method and device, a storage medium and an electronic device, and relates to the field of artificial intelligence. The method comprises the following steps: obtaining a target template, table data and a target topic input by a target user; determining a target directory title associated with the target topic according to the target template; calculating the semantic similarity of the table data, target content and the target directory title, wherein the target content is text content associated with the target topic and the target directory title and obtained from a target library, and the target library is a database comprising data and documents associated with multiple businesses; and matching the table data and the target content to corresponding target directory titles according to the semantic similarity, to obtain a target document corresponding to the target topic. The application solves the technical problems of low efficiency and low accuracy of traditional methods in processing document automatic generation.

The application provides a large image target positioning method and device, equipment and storage medium, which are applied to the technical field of image positioning. A plurality of local sub-images covering a to-be-detected object are acquired, then coarse positioning is performed on the local sub-images to quickly determine a region of interest, fine positioning is performed in the region of interest, sub-pixel level features are extracted, and local sub-pixel level coordinates are calculated, so that the positioning precision is greatly improved. Space transformation parameters between adjacent local sub-images are calculated, and the parameters are used to map local position information to a global coordinate system. The strategy of combining local fine positioning and global unified mapping avoids information loss and precision reduction caused by scaling in traditional large image processing, solves the problems of repeated detection and inaccurate splicing that may occur in slice processing, and has the advantages of improving the accuracy and efficiency of large image target positioning.

The invention discloses an image segmentation method, device and equipment, a medium and a product. The method comprises the steps of obtaining image segmentation prompt information in response to an image segmentation prompt information input operation for a first image; the image segmentation prompt information and the first image are input into a pre-trained image segmentation model to obtain a first image segmentation result, the first image segmentation result is displayed, the image segmentation prompt information comprises at least one of point prompt information, smearing prompt information and geometric prompt information, and the smearing prompt information comprises at least one of the point prompt information, the smearing prompt information and the geometric prompt information. The pre-trained image segmentation model is obtained by training a sample image, sample image segmentation prompt information and a sample image segmentation result. According to the technical scheme, the problem that the accuracy and efficiency of current image segmentation need to be improved is solved, image segmentation can be carried out by combining the model with the manual operation prompt information, the efficiency and accuracy of image segmentation are improved, and efficient cooperation of the model and manual operation is achieved.

The application provides a context-aware sensitive information identification method, system, device and medium, and relates to the technical field of data security. In the method, a preset sliding window is used to cut the to-be-identified data stream into a continuous text slice sequence and generate a global coordinate index; a corresponding prompt word template is dynamically assembled based on metadata characteristics; the text slice and the prompt word template are input into a preset context-aware model to output sensitive entities, local start coordinates, local end coordinates and confidence scores; after coordinate conversion, the sensitive entities corresponding to the same global position in the overlapping area of adjacent text slices are de-duplicated to generate a sensitive entity list; and the sensitive entity list is desensitized using a preset security protection strategy, and the desensitized sensitive entity list, global end coordinates and global coordinate index are used for stream reorganization to obtain an identified desensitized data stream, thereby improving the accuracy of sensitive information identification and data desensitization.

The application provides a closeness evaluation method and device in a social network and electronic equipment, and relates to the technical field of Internet. The method comprises the following steps: determining a target user who produces an interactive behavior with a target creator based on social network data; evaluating a first interactive behavior from three dimensions of comment continuity, comment timeliness and comment influence to determine a first interactive score representing the interactive activity between the target user and the target creator; evaluating a second interactive behavior from two dimensions of forwarding timeliness and forwarding frequency to determine a second interactive score representing the propagation influence of the target user on user-generated content published by the target creator; and determining the closeness between the target user and the target creator based on the first interactive score and the second interactive score. By using the closeness evaluation method, device and electronic equipment in the social network, the accuracy and reliability of the closeness calculation result are improved.

The invention discloses a bidding document auxiliary review method and system based on artificial intelligence, and relates to the technical field of bidding and bidding, and the method comprises the steps: obtaining a bidding document and a bidding document corresponding to the bidding document, and determining a corresponding bidding demand according to the bidding document; respectively obtaining text information about the bidding content and picture information about the bidding qualification in the bidding file; and respectively identifying the text information and the picture information, and matching and comparing the identification result with the bidding demand so as to inspect the bidding document. According to the invention, the problems of manual bid evaluation and poor accuracy in the prior art are solved.

This invention provides a method and system for intelligent layout of directional boreholes for gas control, relating to the field of gas borehole control technology. The method includes: acquiring coal seam occurrence information and gas source information; collecting roadway video and then performing feature frame recognition and stitching to construct a three-dimensional scene; performing initial fitting of gas boreholes based on gas control demand information, coal seam occurrence information, and gas source information; fitting and correcting the borehole positions of the initial borehole fitting results based on roadway features in the scene; obtaining the adjusted borehole fitting results for numerical simulation; generating numerical simulation results for multi-angle gas control evaluation; generating corrected borehole layout information for gas borehole control; solving the technical problem that existing technologies rely more on manual experience for borehole placement, resulting in inaccurate placement; achieving rational and precise placement of gas boreholes, thereby improving the accuracy of gas borehole placement.

The invention discloses an image recognition method and device and electronic equipment. Relates to the technical field of image processing, and comprises the following steps: receiving an initial image input by a target object, the initial image at least comprising identity information of the target object; preprocessing the initial image to obtain a target image; constructing a to-be-processed image data set according to the target image; and processing the to-be-processed image data set according to a target model corresponding to the type of the initial image to obtain an identification result. Through the method and the device, the problem of relatively low identification accuracy of the certificate image in related technologies is solved.

The invention relates to the technical field of electric power engineering construction, in particular to a disassembly and assembly construction planning method and system for an angle steel iron tower, electronic equipment and a medium. The method comprises the following steps: acquiring multi-source heterogeneous data in an angle iron tower construction scene and carrying out standardized preprocessing to obtain structured construction data; inputting the structured construction data into a field fine-tuning large model to execute a construction demand analysis operation, and generating a task decomposition list; performing resource scheduling and progress planning processing on the task decomposition list, and constructing a dynamic construction plan; and the linkage construction knowledge graph performs risk identification processing on the dynamic construction planning plan, and performs deviation analysis processing on the dynamic construction planning plan based on the current construction data to generate an adjustment suggestion. Through the mode, the technical problem that the accuracy and the real-time performance of a planning scheme are difficult to consider in the practical application of angle steel tower construction in the prior art is solved, and the scientificity, the reliability and the overall engineering benefit of construction planning are improved.

The application discloses an operation and maintenance mechanical hand intelligent control method and system based on visual identification, relates to the technical field of intelligent mechanical hand control, and comprises the following steps: collecting RGB image data and depth image data of an operation and maintenance operation area, obtaining a standardized image matrix and a mapping relationship matrix; inputting the standardized image matrix into an improved ResNet residual network model, generating a comprehensive feature descriptor, and calculating the spatial position coordinates and the attitude angle of a target device based on the mapping relationship matrix; based on the current joint angle state of the mechanical hand, solving the target angle sequence of each joint by using an improved Jacobian matrix inverse kinematics algorithm, and determining the grabbing strength parameter and the motion speed parameter based on the comprehensive feature descriptor matching a preset operation mode library; converting the target angle sequence into a control instruction, and sending the control instruction to the joint drivers of the mechanical hand to drive the mechanical hand to complete action planning. The application realizes the full-process automation from environment perception to task execution.

Embodiments of the present application disclose a method and device for synchronously detecting output images, electronic equipment and a medium. The method comprises: in response to a frame synchronization signal and a unit pixel group synchronization signal of an image decoding output device, receiving at least two target images output by the image decoding output device; wherein the unit pixel group synchronization signal comprises a horizontal synchronization signal or a vertical synchronization signal; dividing each unit pixel group of the at least two target images into a preset number of cache pixel groups for caching, and recording the time stamp of each cache pixel group; and according to the time stamp, detecting whether the corresponding cache pixel groups in the at least two target images are synchronized. The above scheme can cache the images before displaying by setting a cache space, and determine whether the at least two output images are synchronized according to the cached time stamp, thereby solving the problems of low efficiency and low accuracy of the current scheme which requires manual observation and only uses synchronization signals for judgment.

The utility model discloses a kind of carton quick bending device, it is related to carton processing technical field, including operation platform, mobile groove being set in operation platform both ends are provided with conveyor belt, one end is provided with limit component, the fixed plate in limit component is set in the both sides of conveyor belt, motor one is fixedly installed on the fixed plate of one side, unidirectional screw rod connected to the output end of motor one is spirally connected with moving block, motor two is fixedly installed on the top of moving block, the output end of motor two is connected with the other end of limit plate and is rotatably arranged on the moving block of the other side of conveyor belt, the moving block is slidably arranged on slide rod, the utility model is limited to the position of carton by limit plate, the position of limit plate is adjusted using motor one, and then when carton is contacted with limit plate, bending portion of carton corresponds with bending cutter, using motor two controls limit plate to rotate, it is convenient for carton after bending to remove through conveyor belt.

The invention provides a user health data monitoring method and system based on a smart watch, and the method comprises the steps: triggering an active interaction request generation mechanism based on an abnormal segment exceeding a preset static boundary condition of any physiological signal in a collected physiological signal sequence of a user, and obtaining a user-oriented interaction prompt instruction; sending a non-intrusive confirmation inquiry to the user through a tactile feedback unit and a display unit of the smart watch based on the interaction prompt instruction, and obtaining a behavior response signal made by the user after sensing the prompt; triggering context sensing based on a content semantic analysis result of the behavior response signal, and determining a current behavior scene label of the user; matching is carried out based on the behavior scene label and the physiological signal type corresponding to the abnormal segment, and a consistency judgment result between the abnormal physiological event and the current behavior scene is obtained; and generating a health monitoring result based on the consistency judgment result. According to the invention, the accuracy of health monitoring of the user is improved.

This invention relates to the field of medical information processing technology, and discloses a method, apparatus, model, and medical device for surgical third-party security verification. The method includes: acquiring multimodal information to be verified; verifying the information using a surgical third-party security verification model; the model includes a dedicated encoder, an uncertainty gating unit, a feature fusion unit, and a decision unit. The dedicated encoder maps the multimodal information to be verified to a high-dimensional latent space, obtaining the corresponding latent representation and uncertainty variance, which serve as the feature information of the information to be verified; the uncertainty gating unit outputs gating values ​​corresponding to the latent representation and uncertainty variance of the multimodal information to be verified; the feature fusion unit fuses the feature information of the multimodal information to be verified based on the gating values; and the decision unit judges the verification result based on the fused feature information. This invention can improve the accuracy and reliability of surgical third-party security verification.

The application discloses a cloud platform resource expansion method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring actual business demands corresponding to a plurality of sub-business modules in a business system; determining the total amount of resource configuration required by the plurality of sub-business modules in each of a plurality of computer room cloud platforms when the plurality of sub-business modules are subjected to expansion processing, based on the actual business demands corresponding to the plurality of sub-business modules; and determining the number of target physical machines required by the plurality of sub-business modules in each of the plurality of computer room cloud platforms when the plurality of sub-business modules are subjected to expansion processing, according to the total amount of resource configuration required by the plurality of sub-business modules in each of the plurality of computer room cloud platforms and the business node types corresponding to the plurality of sub-business modules. The application solves the technical problem of low expansion efficiency and poor accuracy of the cloud platform resource expansion method in the related art.

The utility model discloses a kind of crab automatic dormancy sequencing feeding assembly line, belong to crab sorting technical field, in turn including automatic dormancy device, sequencing feeding device and grading sorting device. Crab is carried out low-temperature treatment by low-temperature dormancy cavity and dormancy conveyor belt to automatic dormancy device, so that it enters quiet state, reduces stress reaction. Sequencing feeding device includes the feeding conveyor belt of the link of dormancy conveyor belt and is equipped with the guide structure of inclined guide surface, and single-column sequencing passage is formed between guide structure and feeding conveyor belt, realizes the ordered output of crab. Grading sorting device is equipped with image acquisition module, control system and actuating mechanism, generates sorting instruction according to shape feature data automatically, accurately push crab to corresponding sorting passage. The assembly line realizes the automation of live crab sorting whole process, improves processing efficiency and classification accuracy, solves the problem of low efficiency and poor precision of traditional manual sorting.

The application discloses an adaptive DVFS method and device for optimizing energy efficiency of a deep neural network. The method comprises the following steps: extracting global features of the deep neural network (DNNs) by a global feature extractor and inputting the global features into a clustering hyperparameter prediction model, and predicting clustering hyperparameters of the current DNNs by the clustering hyperparameter prediction model; performing power consumption behavior similarity clustering according to the predicted clustering hyperparameters and DNNs fine-grained deep features extracted by the deep feature extractor, so as to divide the DNNs into multiple power consumption blocks and form power consumption views, and then inputting global features of each power consumption block into a decision model to obtain a target decision frequency of each power consumption block; setting a DVFS plug-in point before each power consumption block of the DNNs, and setting a target frequency in each power consumption block of the DNNs in advance according to the target decision frequency. Through pre-analysis of the DNNs task, the target frequency in each power consumption block of the DNNs is set in advance according to the decision information, so that the energy efficiency optimization of the neural network can be realized while the performance is maintained.

The application relates to a window width and window position automatic generation method and device, computer equipment and a storage medium, wherein the method comprises the following steps: inputting an acquired sample medical image, an initial minimum value of image grayscale and an initial maximum value of image grayscale into a neural network model for prediction, and constructing a loss function of the neural network model based on a prediction result; based on the loss function, the neural network model is iteratively optimized to obtain a target neural network model; a target medical image is input into the target neural network model for prediction to generate a window width and window position. Through the application, the problem that the window width and window position generation efficiency is low and the accuracy is not high due to human factors in the related art is solved, the loss function is constructed by using a prediction result, the training of the target neural network model is completed, and finally the window width and window position are automatically generated based on the target neural network model, so that the influence of human factors is avoided, and the generation efficiency and accuracy are improved.