264 results about "Targeted screening" patented technology

The invention discloses a nerve regulation system for cognitive impairment, and the system comprises a cognitive behavior evaluation module which is used for recognizing a cognitive defect field which needs to be improved by a target object; the image data acquisition module is used for acquiring and preprocessing task state nuclear magnetic data and T1 weighted structure images of a target object; the brain region activation analysis module is used for determining a neural regulation potential target spot according to the preprocessed task state nuclear magnetic data; the brain network analysis module is used for identifying key nodes related to cognitive defects; the stimulation target screening module is used for determining an individualized stimulation target of the target object according to the nerve regulation potential target and the key node of the target object; the time domain interference electrical stimulation simulation and implementation module is used for performing electrical stimulation on the individualized stimulation target spot; and the dynamic feedback adjustment module is used for dynamically adjusting the stimulation parameters and enhancing the personalized regulation and control effect. By adopting the method and the device, the specific brain region directly related to the cognitive impairment can be determined, so that the targeting and the accuracy of treatment are enhanced.

The invention relates to an aircraft surface damage area segmentation method based on adaptive multi-modal fusion, belongs to the technical field of nondestructive testing, and solves the technical problem of low segmentation precision of an aircraft skin curved surface falling damage area. Obtaining a grey-scale map, a depth map and a point cloud map of the aircraft surface damage skin; synthesizing the grey-scale map, the depth map and the point cloud map, and performing preprocessing, feature extraction, feature conversion, image display and projection and weighted fusion on the synthesized grey-scale map, the synthesized depth map and the synthesized point cloud map to obtain a total edge probability map of skin damage; and performing targeted screening, continuity detection, connectivity detection, convex hull construction, marking and skin falling damage area division on the total edge probability graph. The method is used for aircraft skin health monitoring, maintenance guarantee and operation and maintenance.

The invention discloses a water feed pump fault diagnosis system, which belongs to the field of data analysis and is characterized in that real-time operation data of a water feed pump are acquired by adopting a synchronous acquisition strategy, an operation database is constructed, and when a data record is newly added, detection and self-adaptive judgment are performed to determine an early warning decision; when abnormal early warning of the water feeding pump is detected, screening a fault assessment set for fault identification based on the operation database, and performing information fusion on fault assessment data to obtain a fault assessment feature set; and performing comprehensive time sequence analysis on the preliminary fusion data of each fault evaluation subset to obtain a key part fault evaluation score so as to judge a fault, for the key part judged as the fault, obtaining a fault source by constructing a time axis, and constructing a fault propagation path in combination with a correlation coefficient matrix. The technical problems of synchronization and exception handling during collection of multi-source information, targeted screening and effective integration during fusion, and discrimination and traceability during fault diagnosis are solved.

The invention provides top frame equipment applied to an etching process and a silk screen processing process, and relates to the technical field of silk screen processing. The invention discloses top frame equipment applied to an etching process. The top frame equipment comprises a rack, a mounting groove body, a jacking assembly, a moving mechanism, a gluing nozzle and a rolling assembly, the mounting groove body is connected with the rack and is used for mounting the stretching auxiliary screen printing plate; the jacking assembly is connected with the rack and used for installing a target screen frame, and the jacking assembly drives the target screen frame to abut against the screen cloth; the gluing nozzle is connected with the moving mechanism, and the moving mechanism drives the gluing nozzle to move, so that the gluing nozzle coats glue to the screen cloth along the outline of the target screen frame; the rolling assembly comprises a supporting shell and a compaction roller, the supporting shell is connected with the moving end of the moving mechanism, the compaction roller is rotationally connected with the supporting shell, and the moving mechanism drives the compaction roller to move, so that the compaction roller rolls glue on the screen cloth along the outline of the target screen frame. The screen cloth and the target screen frame can be bonded more compactly through glue.

The invention relates to a screening efficiency optimization method applied to a vibrating screen, belongs to the technical field of screening efficiency optimization, and solves the problems that a method for determining screening parameters of a vibrating screen in the prior art is poor in adaptability, low in accuracy and incapable of adapting to complex conditions. Obtaining a to-be-tested input parameter corresponding to the current to-be-tested vibrating screen, and inputting the to-be-tested input parameter into the target screening efficiency prediction model to obtain the predicted screening efficiency of the to-be-tested vibrating screen; and if the predicted screening efficiency meets an expected target, taking the to-be-tested input parameter as a control parameter of the to-be-tested vibrating screen, and if the predicted screening efficiency does not meet the expected target, optimizing the to-be-tested input parameter by adopting a genetic algorithm, and taking the optimized parameter as the control parameter of the to-be-tested vibrating screen. The screening efficiency of the to-be-tested vibrating screen is improved; in the optimization process, input parameters represented by each individual are input into the target screening efficiency prediction model to obtain the screening efficiency of each individual, and a fitness function is obtained based on the screening efficiency, energy consumption and production cost of each individual. The method for reasonably, rapidly and efficiently determining the screening parameters of the vibrating screen is achieved.

The invention relates to the technical field of rescue equipment path regulation and control, in particular to a rescue equipment path regulation and control platform which comprises a rescue path regulation and control center, a rescue blocking risk unit, a path planning unit, a dynamic management unit, a return scheduling unit and a rescue management unit. According to the invention, targeted screening and dynamic regulation and control are carried out on the forward planned path and the return planned path from the perspective of path planning of rescue equipment, so that rapid and safe rescue operation can be realized, and dynamic safety regulation and control evaluation analysis is carried out on obstacle information in an information feedback mode. The flexibility and the dynamic regulation and control efficiency of the rescue equipment are improved, meanwhile, the return performance of the rescue equipment in the return time period is analyzed in an information progressive mode, secondary regulation and control are conducted on the return rescue path based on the grading condition of the return performance, so that the sudden risk in the return rescue path is reduced, and the rescue efficiency is improved. And the reliability of the return rescue of the rescue equipment can be improved.

The invention discloses an intelligent account verification method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the to-be-processed data of a target customer when the account payment of the target customer is monitored; loading target rule information of the target client in an enabled state from a target database through a rule generator of a rule matching engine; based on the target rule information, performing data filtering on the to-be-processed data to obtain target to-be-processed data; and based on an intelligent matching model of the rule matching engine, performing service screening on the target to-be-processed data to obtain target screened data, and performing cancel-after-verification processing on the target screened data. According to the invention, intelligent verification of a large amount of accounts can be realized. The account verification efficiency can be improved.

Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data / screen and the target screen using an artificial intelligence / machine learning (AI / ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide / unhide the matched / unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data / screen and the target screen using an artificial intelligence / machine learning (AI / ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide / unhide the matched / unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

The invention relates to the field of strong wine detection, and discloses a strong wine visual non-target metabonomics origin traceability method, which comprises the following steps: firstly, collecting strong wine original data, digitizing and outputting the collected strong wine original data to obtain strong wine output data; performing preliminary analysis by using a clustering analysis method to obtain first analysis data; performing secondary analysis on the first analysis data by using a principal component analysis mode to obtain second analysis data; and finally analyzing the second analysis data by partial least square discriminant analysis or orthogonal partial least square discriminant analysis, and screening, comparing and identifying the characteristic compounds to obtain the non-target metabonomics origin traceability place of the strong wine. According to the method, the problems that a non-target metabonomics traceability technology easy to visually display does not exist in the prior art, and a standardized operation instruction integrating efficient pretreatment, non-target screening, rapid traceability, accurate confirmation and visual display does not exist are solved.

The invention relates to the technical field of image enhancement, in particular to an image editing method, device and equipment and a storage medium, and the method comprises the steps: obtaining original input data containing an original image and corresponding scene structure information, carrying out the editing region screening processing in the original image based on the scene structure information, and obtaining a target editing region, obtaining a pre-training diffusion model, performing obstacle editing processing on the original image in combination with a preset image editing strategy and a target editing area to generate an initial enhanced image, performing consistency optimization on the initial enhanced image according to the scene structure information to obtain a target enhanced image, and generating annotation information based on the target enhanced image, and finally, carrying out quality screening processing on the target enhancement graph and the annotation information to obtain target screening data, and carrying out barrel division evaluation processing on the target screening data to obtain target enhancement data, thereby enriching training data and solving the problem of insufficient coverage of special-shaped obstacles in traditional data enhancement.

The invention provides a waste concrete recycled aggregate classification screening monitoring method and device, and the method comprises the steps: analyzing the roughness degree of an aggregate surface according to initial state description, calculating a surface fluctuation height difference value and a texture direction, extracting surface texture features from image scanning data, and determining the roughness grade of the aggregate surface; measuring three-dimensional size parameters of the aggregate in combination with a laser ranging technology to obtain aggregate particle size distribution data, carrying out statistical analysis processing on aggregate particle size changes, and comprehensively judging the dispersion degree of particle size distribution in combination with a surface fluctuation height difference value, a texture direction and a roughness grade; layered screening is conducted on aggregate through target screen mesh aperture configuration, aggregate adhesion friction data are collected in real time in the screening process, and the screening efficiency is obtained by combining the throughput of aggregate with different particle sizes in unit time.

The invention discloses a target screening optimization algorithm during lane changing of an own vehicle, which comprises the following steps of: firstly, activating an ACC longitudinal control function of the own vehicle, acquiring own vehicle parameters, front target vehicle parameters, own lane parameters, left lane parameters and right lane parameters, and calculating a center line equation of the own lane, the left lane and the right lane; judging whether to change a lane or not and which lane changes to the left and right; when a lane to be switched is determined and entered, the current lane center line of the vehicle is calculated; when the vehicle just enters the lane to be switched, no lane change judgment is carried out within 3s; and after the vehicle enters the lane to be switched, no lane changing judgment is carried out within 3 seconds, and the lane changing work of the vehicle is completed. The target screening optimization algorithm for the self-vehicle during lane changing has the advantages that the selection of the vehicle following target is more reliable and effective, ACC control is smoother, and the safety and reliability of lane changing operation are improved.

The invention discloses a targeted screening method and application of a xanthine oxidase inhibitor in radix puerariae, and belongs to the technical field of medicinal chemistry. A surface chemical exchange method is carried out on xanthine oxidase through a ligand fishing technology, ligands of active groups of xanthine oxidase are modified to the surfaces of magnetic metal nanoparticles, the magnetic metal nanoparticles and a to-be-separated solution are incubated together, and then specific components with the xanthine oxidase inhibiting effect are successfully screened out through a UPLC-Q-TOF-MS / MS technology. The combination of the active component and the XOD active site is verified through molecular docking simulation to confirm that the active component is an effective inhibitor. The invention provides a reliable basis for further clinical research and development of drugs for treating hyperuricemia, and has a wide application prospect.

The invention provides a pump room scene abnormal state recognition system and method based on video monitoring, and relates to the field of monitoring or monitoring activities, in particular to the field of space perception. The system comprises a synchronous trigger device which is used for synchronously triggering the collection of video data and audio data in a pump room in the same monitoring time interval; and the state identification device is used for intelligently identifying a pump room scene abnormity type by adopting an intelligent scene abnormity identification model on the basis of basic contents obtained by analyzing the video data in the pump room and the audio data in the pump room. According to the invention, in order to solve the technical problem that the recognition precision and efficiency of various specific pump room scene abnormal states cannot be considered at the same time, different intelligent scene abnormal recognition models can be designed for different pump room scenes and multi-modal basic contents screened in a targeted manner are introduced; and various specific pump room scene abnormal state identification is completed, so that the technical problem is solved.

The embodiment of the invention relates to the technical field of LED display screens, and discloses an LED display screen correction method and a corresponding sending card device, and the method comprises the steps: obtaining the correction size of a to-be-corrected region, and the correction position of the to-be-corrected region relative to the LED display screen; configuring control parameters according to the correction size and the correction position; displaying a signal source picture on the LED display screen according to the control parameters; wherein a target picture is configured in the signal source picture, and the target picture is displayed on the to-be-corrected area. The control parameters are configured according to the size of the correction area and the correction position, the size of the signal source picture and the display position of the target picture are configured according to the control parameters, the signal source picture is shifted through the sending card device, the target picture is displayed in the correction area, picture display needed by correction is completed, and correction can be completed normally. The method does not need to find a display device with a large resolution ratio, reduces the requirements for a sending card device, is lower in cost, and is wider in universality.

The invention relates to the technical field of biochemical detection and analysis, in particular to a method for screening halogenated carbazole active degrading bacteria based on a single-cell Raman spectrum technology, which utilizes the characteristic of more active substance exchange between high-activity microorganisms and the outside, adopts a stable isotope probe to anchor active strains, and performs targeted screening to obtain the halogenated carbazole active degrading bacteria. Therefore, the degrading bacteria are firstly screened and then cultured. Compared with other markers (13C and 15N), the deuterium (2D) marker is lower in price, and an obvious C-D tensile vibration band can be observed in a Raman silence region. According to the method, the time for screening the functional strain is shortened to several days from several months in the prior art, the performance of the active functional strain is improved by multiple times compared with that of the strain obtained through a traditional method, and the technical bottleneck that the single-active strain is difficult to effectively obtain through the traditional method is broken through.

The invention relates to a screening efficiency prediction method, belongs to the technical field of screening efficiency prediction, and solves the problem that accurate and effective screening efficiency cannot be obtained in time in the prior art. Acquiring historical screening sample data of the vibrating screen, processing the vibration signal to obtain a second feature component, replacing the vibration signal in the historical sample data to form a sample data set, and performing data expansion on the sample data set to obtain a training sample data set; constructing a plurality of first training sample subsets with different parameter combinations based on the training sample data set, and establishing screening efficiency prediction models corresponding to the first training sample subsets; and training a corresponding screening efficiency prediction model based on each first training sample subset, taking the screening efficiency prediction model with the highest prediction precision as a target screening efficiency prediction model, obtaining an input parameter combination corresponding to the current to-be-tested vibrating screen, and inputting the input parameter combination into the target screening efficiency prediction model to obtain the screening efficiency of the to-be-tested vibrating screen. The screening efficiency corresponding to the current control parameter is rapidly and efficiently obtained.

The application discloses a kind of unsupervised time series anomaly detection methods, the method includes obtaining historical time series data, according to the correlation of historical time series data and target screening characteristic variable, according to characteristic variable constructs instance anomaly detection task historical time series data;To instance anomaly detection task historical time series data relevant field adopts rolling statistical characteristic strategy, constructs instance anomaly detection task historical time series data model;Instance anomaly detection task historical time series data model is input into self-encoding framework after batch processing, after three times coding, three times decoding obtains reconstructed instance anomaly detection task historical time series data module;Instance anomaly detection task historical time series data module is compared and analyzed with reconstructed instance anomaly detection task historical time series data module, obtains loss time series dataset;Decision tree model is constructed, and each sample of loss time series dataset is scored, and final anomaly detection result is obtained according to score.The application can improve the ability and efficiency of time series data anomaly identification.

The application discloses a combine harvester with a material differentiation processing function, which comprises a walking chassis, a ploughing and harvesting assembly, a material conveying assembly and a threshing and cleaning assembly arranged in sequence from front to back on the walking chassis; the threshing and cleaning assembly comprises a threshing device and a cleaning device arranged in an up-down mode; the cleaning device comprises a sieve body and a driving main shaft for vibrating the sieve body; the number of the sieve bodies is at least three, and all the sieve bodies are closely arranged in the axial direction of the driving main shaft; a driving member is connected between the driving main shaft and each sieve body, and the specifications of the driving members connected with the sieve bodies at different positions are different, so that the vibration parameters of the sieve bodies at different positions are different. In the application, the structural design of the cleaning device can fully meet the distribution characteristics that the materials falling from the threshing cylinder of the threshing device are more on both sides and less in the middle, and targeted screening processing of the differentially distributed materials is realized.

The invention relates to an industrial park intelligent electric meter data application method. The method comprises the following steps: executing each training action on a deep neural network at an intelligent electric meter of an industrial park to obtain the deep neural network after executing each training action, and outputting the deep neural network as an AI power interruption identification model corresponding to the industrial park; and intelligently identifying whether the industrial park has the power supply interruption accident of the power supply cable in the future time segment or not at the intelligent electric meter of the industrial park according to the AI power interruption identification model corresponding to the industrial park. According to the invention, the AI power interruption identification model designed for the customized structure of the industrial park can be adopted at the intelligent electric meter of the industrial park, and whether a power supply interruption accident of a power supply cable occurs in the industrial park in a future time segment or not can be intelligently identified according to multiple times of basic information screened in a targeted manner; therefore, key foreseeing information is provided for safety management of power supply cables in industrial parks during typhoons.

A method for screen projection in vehicle includes displaying first screen projection data sent from connected first mobile terminals in sub-areas on a display screen; in response to receiving a connection request from a second mobile terminal, establishing a connection with the second mobile terminal; receiving second screen projection data sent from the second mobile terminal; determining whether any target screen projection data having a same data type as the second screen projection data exists in the first screen projection data; in response to the target screen projection data being determined, assigning a target sub-area corresponding to the target screen projection data to the second mobile terminal to project the second screen projection data sent from the second mobile terminal; and in response to no target screen projection data being determined, adding a new sub-area on the display screen to screen project the second screen projection data.

The present disclosure provides a report generation method that can be applied to the financial and database fields. The report generation method includes: obtaining a report file generation request, the generation request including a target screening condition array, the target screening condition array including a target screening condition and a target screening value, and the report file corresponding to multiple screening condition arrays; determining target identification information of the report file based on the target screening condition array, the target identification information corresponding to basic configuration information, and the basic configuration information including a first initial query statement corresponding to the target identification information; verifying the target screening condition array; if the verification result indicates that the target screening condition array meets the verification rules, generating a target query statement based on the target screening condition array, the target identification information, and the first initial query statement; performing a data query based on the target query statement, and outputting a report file. The present disclosure also provides a report generation device, equipment, storage medium, and program product.

The invention discloses a screening method for synchronously and rapidly analyzing new pollutants through single sample injection, and relates to the technical field of environment screening. According to the invention, a non-targeted screening, targeted screening and quantification technology for one-time pretreatment of multiple compounds in a water sample based on an electrostatic field orbitrap high-resolution gas chromatograph-mass spectrometer and synchronous and rapid analysis of the compounds by single sample injection under the same instrument condition is realized. Compared with the existing method for independently carrying out non-targeted screening, targeted screening and quantitative analysis on the compounds, the method has the advantages that the sensitivity of non-targeted screening is improved, the risk that low-concentration specific pollutants cannot be detected by non-targeted screening is reduced, and the defects that in targeted screening and quantitative analysis, the spectrogram information of the compounds is incomplete, and the detection sensitivity is low are reduced. The risk that misjudgment and false positive problems easily occur is solved, and the problem that non-targeted screening is incompatible with targeted screening and quantitative analysis is solved. Through the method, the analysis time can be effectively shortened, the analysis efficiency can be improved, and the analysis cost can be saved.

The invention provides a method for high-throughput screening of an alpha-glucosidase inhibitor from boxthorn leaves based on a multi-shell MOF immobilized enzyme, and aims to overcome the bottlenecks of low throughput, tedious operation, high cost and the like of a traditional screening method. The core process of the method comprises the following steps: preparing a boxthorn leaf sample solution and pre-evaluating the in-vitro alpha-glucosidase inhibitory activity; a multi-shell MOF immobilized enzyme technology is coupled with a UPLC-QTOF-MS / MS technology, so that targeted screening, efficient separation and accurate identification of active components are realized; verifying the alpha-glucosidase inhibitory activity of the target compound; and predicting the binding site of the small molecule compound and the enzyme through a molecular docking technology. The method has the core advantages of high specificity, high sensitivity, high flux, repeated utilization of enzyme receptors and the like by depending on the inherent characteristics of an immobilized enzyme technology, can synchronously screen and identify various inhibitors, effectively integrates the resource advantages of a boxthorn leaf natural product and the high efficiency of a modern high-flux screening technology, and has a wide application prospect. And a key technical support is provided for diversified development of diabetes treatment medicines.

The application discloses a financial data display method and device, a storage medium and an electronic device, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring N pieces of financial data to be displayed on a target screen, wherein N is a positive integer greater than 1; acquiring first portrait information of a first object, wherein the first object is an object to be used with the N pieces of financial data, and the first portrait information at least comprises attribute information of the first object and preference information of the first object for a screen layout; inputting the first portrait information into a target decision tree model for classification processing, and outputting a screen layout recommended for the first object; and displaying the N pieces of financial data on the target screen based on the screen layout. Through the application, the problem that, in the related art, when financial data is displayed on a screen, the screen cannot preferentially display data information that a user is interested in, and the effect of using the financial data displayed on the screen is poor, is solved.

The invention provides a transient alarm tracking method and device, terminal equipment and a storage medium, and the method comprises the steps: firstly obtaining an image of a target screen on to-be-tracked equipment; then determining a preset alarm information display area corresponding to the target screen, and performing character recognition on the preset alarm information display area to obtain a character recognition result; and finally, matching the character recognition result with a preset alarm character library, and determining that the to-be-tracked device has a transient alarm under the condition of successful matching. Therefore, the characters in the specific area of the screen of the to-be-tracked equipment are automatically obtained and recognized in a non-intrusive mode, so that the preset alarm information is accurately matched, millisecond-level response is achieved, transient faults which cannot be traced in a traditional mode are effectively captured and recorded, and the accuracy and reliability of equipment diagnosis are improved.

The invention discloses a non-targeted screening analysis method for chlorinated and brominated organic pollutants in sludge. The method comprises the following steps: extracting target compounds with different polarities in a sludge sample by respectively adopting different extraction agents for the sludge sample, purifying and concentrating the sample by respectively adopting different solid-phase extraction columns, performing instrumental analysis based on liquid chromatography-tandem high-resolution mass spectrometry (LC-HRMS) and gas chromatography-tandem high-resolution mass spectrometry (GC-HRMS), and determining the content of the target compounds in the sludge sample. The information of chlorinated and brominated organic matters in the sample can be completely obtained as much as possible. The obtained instrument data is subjected to data format conversion, XCMS Online website mass spectrum data extraction and RStudio language processing by using MS Convert software, so that chloro and bromo organic matters in the sludge sample can be quickly and accurately screened. The technical problem that a halogenated organic pollutant analysis method in the prior art does not have the capability of performing non-targeted screening on multiple halogenated organic pollutants at the same time is solved.

The application relates to the field of screen control, in particular to a control system based on intelligent multi-screen cooperation, which comprises a processing unit, an analysis unit, a load optimization unit and a display optimization unit. The processing unit comprises a plurality of sub-processing modules and is used for processing target videos respectively. The analysis unit is used for determining the display state of each target screen according to a picture misadjustment reference value and a display decline reference value, and determining an optimization mode as load distribution optimization or environment optimization according to a first display state proportion and a first display state aggregation degree. The load optimization unit is used for determining the screen category of the target screen according to an image complexity reference value and a dynamic reference value, and determining an optimization processing mode as task distribution optimization or task order optimization based on a balance coefficient. The display optimization unit is used for determining the environmental light influence state corresponding to each target screen according to an illumination intensity coefficient and an illumination distribution coefficient, and determining whether to adjust the brightness of the target screen according to the environmental light influence state. The application improves the display effect under the control of the multi-spliced screen.