75results about How to "Efficient and accurate determination" patented technology

The invention relates to a cell quantification method and device, computer equipment and a storage medium. The method comprises the following steps: extracting cell contour features of an endoscope cell image corresponding to a region of interest through a pre-constructed deep learning model, and separating a cell contour region corresponding to each cell in the endoscope cell image according to the cell contour features; classifying the cell contour region corresponding to each cell through the deep learning model to obtain a cell category of each cell; determining an overall cell quantification result corresponding to the endoscope cell image through the deep learning model according to the cell contour region of each cell; and performing depth feature extraction on the cell contour region of which the cell category is the abnormal cell through the deep learning model, and determining an abnormal cell quantification result according to the depth feature and the cell contour feature of the abnormal cell. By adopting the method, the abnormal condition of the cells can be accurately and efficiently judged.

The invention provides a man-machine interaction method and device and a storage medium. The man-machine interaction method comprises the steps of determining operation intention information of a user for a graphical user interface of a current application program based on multi-mode behavior information of the user for the graphical user interface of the current application program; and based on the operation intention information, executing an operation task of at least one application program corresponding to the operation intention information in a simulation running environment corresponding to the terminal equipment.

The embodiment of the invention discloses a value data processing method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: determining a similar value product information set and user group information; for each piece of similar value product information, executing a first generation step: determining a first matching information set; performing data screening on the similar risk circulation data set to generate a screened data set; for each piece of user information, determining second matching information; screening out at least one piece of user information, and generating an extended value transfer data sequence set; generating an extended data set; generating value risk information; and storing various data or information, and sending information links and link instructions to the value monitoring terminal. According to the embodiment, the value risk information for the target user can be accurately generated, and the value loss for the target user is avoided by executing the corresponding value operation on the target user.

The invention provides an alarm root cause positioning method and device, a storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: querying bearer service information, routing elements and alarm information of subnet connection according to a pre-constructed service alarm table; dividing the route into different cross segments according to the protection segments of the route elements; respectively analyzing bearer service information and alarm information of subnet connection corresponding to different cross segments, and determining alarm information of a plurality of different cross segments; and merging the alarm information of the plurality of different cross sections, and determining the alarm root cause. According to the method and the device, the alarm root cause is determined by combining the pre-constructed service alarm table with the cross-segment division of the route, the analysis and the merging of the alarm information, so that the alarm can be quickly inquired and positioned, the determination of the alarm root cause is more efficient and accurate, and the problem of low timeliness of the positioning of the Ethernet service alarm root cause is solved.

The invention discloses a sensitive data processing method and device, electronic equipment, a storage medium and a product. The sensitive data processing method comprises the following steps: acquiring data to be detected, wherein the data to be detected comprises digital data and / or text data; for digital type data, digital type sensitive data are determined according to the conversion probability matrix of the sensitive type attributes, and elements in the ith row and the jth column in the conversion probability matrix represent the probability of transferring from the sensitive type attribute i to the sensitive type attribute j; for the text type data, text type sensitive data is determined based on a preset model, the preset model is constructed based on a semantic representation model and a dictionary tree, and the semantic representation model is used for determining word vectors of segmented words in the text type data. According to the technical scheme, the sensitive data is recognized by adopting the transition probability matrix for the digital data, the sensitive data is recognized by adopting the model constructed by the semantic representation model and the dictionary tree for the text data, and the sensitive data is accurately and efficiently recognized for different types of data.

The embodiment of the invention provides a control method of a vehicle-mounted air conditioner, electronic equipment, a storage medium and a program product. The method comprises the steps that operation information of the vehicle-mounted air conditioner is obtained, and the vehicle-mounted air conditioner operates in an external circulation mode currently or operates in the external circulation mode and an internal circulation mode currently; the operation information is used for representing the external circulation air volume of the vehicle-mounted air conditioner in unit time; opening and closing piece state information of the vehicle where the vehicle-mounted air conditioner is located is obtained, the opening and closing piece state information is used for representing the opening and closing state of an opening and closing piece of the vehicle, and the opening and closing state comprises the opening state and the closing state; and when the operation information meets the preset condition and at least one opening and closing piece is in the opening state, the air volume proportion of the external circulation mode of the vehicle-mounted air conditioner is reduced. The method is used for achieving the effects of reducing the cost and improving the user experience.

The present invention provides a multi-caliber data management method, device and equipment based on knowledge graph, which relates to the field of data management technology, including obtaining historical knowledge graph; obtaining multi-caliber target data; obtaining a data screening model; using the entity corresponding to the target data as the target core node; obtaining an initial knowledge graph; optimizing the initial knowledge graph to obtain a target knowledge graph of multi-caliber data. The present invention learns the relationship between the core node and the leaf node in the knowledge graph, and the relationship between the entity corresponding to the core node and the entity corresponding to the leaf node by constructing a decision tree model to predict the entity that should be used as the core node in the current multi-caliber data, thereby determining the knowledge graph model corresponding to the current multi-caliber data, thereby generating a knowledge graph. Compared with the prior art, the knowledge graph model corresponding to the multi-caliber data can be accurately and efficiently determined, and the complex data relationship can be displayed in a more intuitive graphical manner.

The embodiment of the application discloses a kind of defect detection method, device and equipment and storage medium, it can be applied to artificial intelligence and block chain etc., the method comprises: determining the initial image of the object to be detected and the standard image of standard object;Determine the initial image feature of initial image and the standard image feature of standard image;Determine the offset feature value of each pixel point of initial image feature compared with the pixel point of same position in standard image feature, determine first fusion image feature based on initial image feature and the offset feature value of each pixel point of initial image feature corresponding;Determine the object type to which the object to be detected belongs based on first fusion image feature, when the object to be detected belongs to first type, the object to be detected exists defect compared with standard object, when the object to be detected belongs to first type, the object to be detected does not exist defect compared with standard object.Using the embodiment of the application, whether the object to be detected exists defect can be determined efficiently and accurately.

This application discloses a method, system, and device for analyzing the state of the tumor microenvironment based on medical images, relating to the field of medical image processing technology. First, by acquiring medical images and gene expression data of related tissues within those images, the medical images are preprocessed to obtain image patches, and semantic features of these patches are extracted. An algorithm is then used to calculate a predefined immune resistance mechanism that matches the gene expression data as the dominant immune resistance mechanism. This dominant immune resistance mechanism is then set as a supervisory label for the model, and a prediction model is constructed. The model is trained using a large amount of data, and the medical image to be analyzed is input into the trained prediction model to obtain the predicted category of the resistance mechanism. This application can accurately predict the resistance mechanism of pathological tissues based on medical images and their related gene expression data.

The invention provides a slurry shield tunneling simulation system and an analysis method for the blockage condition of a cutter head thereof, and relates to the field of slurry shield simulation, and the scheme is that the slurry shield tunneling simulation system comprises a rack on which a driving assembly is arranged, and further comprises a shield simulation assembly used for simulating the slurry shield process; the simulation box is divided into an observation cavity and a containing cavity, the simulation box is made of a transparent material, and the containing cavity is used for containing transparent clay containing first fluorescent particles; the observation unit comprises an image acquisition module and an image analysis module, and the image acquisition module is arranged in the observation cavity and can capture an image in the accommodating cavity; the light source assembly comprises a movable base, and a first light source and a second light source are arranged on the movable base. According to the invention, the migration condition of substances in the slurry shield cutting space can be directly observed, the slurry slag carrying and discharging rule and mechanism can be accurately obtained, and an accurate guidance direction is provided for optimizing shield tunneling.

This invention provides a method and system for automatic vertex picking of DAS-based microseismic events, relating to the field of microseismic location technology. The method includes acquiring multi-channel data corresponding to microseismic events and performing demodulation analysis to form multi-channel waveform data; performing correlation analysis on the waveform data from different channels to establish an automatic picking correlation model; performing image transformation based on the automatic picking correlation model to form corresponding grayscale images; and performing location discrimination analysis based on the grayscale images to determine the event vertex channel. This method improves the interpretation accuracy and reliability of geological analysis of seismic images by removing noise while preserving geological structural features such as faults and strata.

The present application belongs to the field of ecological environment protection, and particularly relates to a municipal pipe network overflow pollution tracing method based on DOM molecular group discrimination tracing. The municipal overflow pollution tracing method provided by the present application mainly refers to obtaining the DOM molecular pool of main pollutants in municipal overflow and the molecular group composition characteristics thereof through FT-ICR-MS detection and calculation on a large number of pollution source samples of municipal overflow, and comprehensively and accurately completing the pollution source tracing of the end municipal overflow by using the analysis of the DOM molecules of various pollution sources of municipal overflow at the molecular level, so as to provide reliable data and technology for effective control of overflow pollution and optimization management and upgrading reconstruction of the drainage system.

The invention relates to a fruit sweetness lossless determination method and device, and the method comprises the steps: collecting fruit feature training data through a fruit sweetness lossless determination device, carrying out the data preprocessing of the feature data, and enabling the preprocessed data to serve as the input of a nonlinear support vector machine model; training a nonlinear support vector machine regression model, generating a fruit sweetness regression model, and predicting a sweetness value corresponding to the spectral feature data of the to-be-detected fruit by using the model; the fruit sweetness lossless measuring device is convenient to carry, has low requirements on the fruit sweetness measuring environment, can measure the fruit sweetness value anytime and anywhere, and can efficiently and accurately measure the fruit sweetness value at the same time.

The invention discloses a fault analysis and location system for a distribution network, relates to the technical field of intelligent power distribution, and solves the technical problems that the prior art has low efficiency in locating faults in complex distribution networks and is difficult to accurately identify the fault types of distribution networks; the invention collects the current flowing through the intelligent switch on the distribution link; when the current has an abnormal change, the current balance of the adjacent topological nodes downstream of the intelligent switch is analyzed in real time to determine whether there is a line fault; that is, the recorded wave data of the faulty line at the same moment is uploaded; the invention can avoid the time delay caused by the data transmission process, and locate the fault according to the current balance of the topological nodes at the same moment; the invention extracts the recorded wave data of the faulty line, extracts features of the electrical data before and after the line fault in the recorded wave data, integrates and generates a fault feature sequence, and determines the fault type in combination with a fault judgment model; the invention extracts the features of the recorded wave data before and after based on the same moment, and determines the fault type efficiently and accurately in combination with the fault judgment model.

The present application discloses a visual inspection method for a carbon dioxide five-axis cutting head based on image processing, and relates to the field of visual inspection technology. The visual inspection method comprises: after the cutting of the target product is completed, obtaining the driving strategy of the driving device, and obtaining the image data of the image acquisition device; the driving strategy includes the driving data of each axis; the image data includes: the initial image of the target product before being cut and the real product image of the target product at multiple cutting stages; according to the driving strategy and the initial image, determining the predicted product image of the target product at multiple cutting stages; according to the real product image, the predicted product image, the cutting axis corresponding to the driving data and the preset cutting head accuracy, determining the cutting evaluation result of the target product. The visual inspection method can realize accurate and efficient inspection of cutting products based on the carbon dioxide five-axis cutting head.

The invention provides a method for detecting impurities in a mosapride citrate intermediate, which comprises the following steps: a test solution containing 4-amino-5-chloro-2-ethoxybenzoic acid (isobutoxyformic acid) anhydride is detected by liquid chromatography, and the solvent of the test solution is acetonitrile. The detection method is simple, convenient and rapid, good in separation degree, high in detection efficiency, short in operation time and simple in preparation process, the condition of the mosapride citrate intermediate 4-amino-5-chloro-2-ethoxybenzoic acid (isobutoxyformic acid) anhydride can be rapidly and accurately determined, a monitoring method of a conventional thin-layer chromatography is replaced, and the condition of a sample is accurately and efficiently determined.

The invention provides a high-speed rail continuous rigid frame beam through bridge fabrication machine construction monitoring method and system, and relates to the technical field of bridge fabrication machine construction monitoring, and the method comprises the steps: obtaining construction environment meteorological data and an infrared video of a beam body surface concrete solidification process after rigid frame beam through bridge fabrication machine construction; determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on the infrared video of the solidification process of concrete on the surface of a beam body after the construction of the rigid frame beam through bridge fabrication machine and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; and on the basis of a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain, real-time monitoring and risk early warning of the concrete crack on the surface of the beam body are carried out, and the method can efficiently and accurately determine the key monitoring position of the concrete crack in the construction of the high-speed rail continuous rigid frame beam so as to realize accurate early warning.

The embodiments of the present disclosure disclose a method, device, electronic device and medium for generating user preference item information. A specific implementation of the method includes: obtaining the current time information corresponding to the current user operation; vector encoding the current time information to obtain a time encoding vector; obtaining a user interest dictionary of the operating user associated with the current user operation, wherein the user interest dictionary includes: a plurality of vector pairs in the form of two-tuples, each vector pair includes: a time feature vector and a user preference item feature vector; based on the time encoding vector, at least one target vector pair is selected from the user interest dictionary; based on at least one user preference item feature vector, at least one user preference item information corresponding to the current time information of the operating user is generated. This implementation can accurately and efficiently generate at least one user preference item information of the operating user for the current time information.

The application discloses a data communication method and device, electronic equipment and storage medium, and the virtual role information corresponding to each device identification information is obtained from a target application program through a connection notification received by a cloud server, and a role mapping table between the device identification information and the virtual role information is established, then, role distinguishing information generated by the target application program is received, and the role distinguishing information is sent to a target terminal, so that the target terminal displays target picture content according to the role distinguishing information, and different control instructions are sent to each portable digital device, so that each portable digital device displays different representation content after executing the control instructions; the virtual role corresponding to the device identification information is continuously controlled through the role mapping table, and the practicability is improved; the distinguishing degree of the virtual role in the picture is directly reflected through the target picture content; the virtual role corresponding to the portable digital device is efficiently and accurately determined through the representation content, and the application can be widely used in the technical field of computers.

The invention discloses a fault type determination method and device, equipment, a medium and a program product, and belongs to the technical field of big data. The method comprises the following steps: acquiring key node state information in a first data packet under the condition that a target network node sends the first data packet; analyzing the key node state information by using a preset fault analysis model to obtain an analysis result; when the analysis result is the operation fault, key node state information and basic node state information in a second data packet sent by the target network node are acquired; and determining a fault type of the target network node according to a comparison result between the key node state information and the basic node state information in the second data packet and corresponding preset thresholds. According to the embodiment of the invention, the fault can be quickly identified, and the specific fault type of the target network node can be accurately judged, so that the efficiency and accuracy of fault detection are greatly improved, and the stability and reliability of network operation are improved.

The invention relates to a method and system for determining the resistance value of a bleeder resistor of a flexible direct-current converter valve, and belongs to the technical field of direct-current power transmission. Comprising the following steps: taking the smaller value of a first upper limit value and a second upper limit value of a corresponding bleeder resistor obtained according to the requirement of a power transmission system on the bleeder power of a converter valve and the requirement of the power transmission system on the voltage rise amount of a capacitor as the actual upper limit value of the value of the bleeder resistor; taking a larger value in a first lower limit value and a second lower limit value of the corresponding bleeder resistor as an actual lower limit value of the value of the bleeder resistor, wherein the larger value is obtained according to the requirement of a power transmission system on the current of a converter valve bleeder branch and the requirement that the bleeder resistor of the converter valve only acts once in each power frequency electric period; and determining the value range of the bleeder resistor according to the actual upper limit value and the actual lower limit value. According to the method, the requirement for the discharge power, the requirement for the capacitor voltage rise amount, the requirement for the discharge branch current and the requirement for the action of each power frequency electric cycle of the discharge resistor are comprehensively considered, and the discharge resistor is accurately and efficiently determined.

The present application relates to the technical field of fruit intelligent picking, in particular to a fruit recognition method of an intelligent picking robot in a dense planting environment. The method acquires fruit images and reference depths of the fruits in real time during the fruit picking process; divides fruit regions in an initial fruit image, acquires picking degrees according to the saliency, aggregation and total quantity of the fruits in the fruit regions; acquires spatial tags according to the reference depths and visible conditions of the fruits; acquires real saliency degrees of the fruits in the initial fruit image according to the saliency, spatial tags and picking degrees of the fruit regions, and determines target fruits for the first picking; acquires adjusted real saliency degrees of the affected fruits according to the influence of the target fruits after picking on other local fruits, and determines target fruits for the second picking; and so on, until the target fruits for picking are acquired in real time until the stopping condition is met. The present application effectively improves the efficiency and accuracy of fruit picking by preparing for the recognition of target fruits.

The application provides a control method and system of a large-torque robot collaborative arm, and relates to the technical field of collaborative arm control. The method comprises the following steps: obtaining bedrock ground penetrating radar data of a target sampling area; generating a bedrock primary bedding development degree distribution map of the target sampling area based on the bedrock ground penetrating radar data of the target sampling area; determining a plurality of groups of drilling point information of a peripheral core reference sampling area and a plurality of groups of drilling point information of a primary bedding core sampling area based on the bedrock primary bedding development degree distribution map of the peripheral core reference sampling area and the bedrock primary bedding development degree distribution map of the primary bedding core sampling area; and controlling a robot collaborative arm to perform core drilling operation of the primary bedding core sampling area based on a core drilling collaborative arm control scheme of the primary bedding core sampling area. The method can efficiently and accurately determine a robot collaborative arm control scheme for core drilling of bedrock primary bedding in the target sampling area.

The invention relates to the field of biological sequencing, in particular to application of a synthetic sequencing technology to a space transcriptome coding microsphere chip. The sequence of the microsphere probe is determined by adopting a synthetic sequencing technology, and the main implementation thought is as follows: microspheres with the probe are densely laid on a carrier, a primer is added to be hybridized with the probe, and the probe sequence on the microspheres is obtained by utilizing a synthetic sequencing reaction. Specifically, after a microsphere probe on a carrier is incubated through a sequencing primer, a reversible terminator with four-color fluorescence is added, a nucleotide is synthesized in a reaction buffer solution under the action of amplification enzyme, then fluorescence is excited through laser to obtain an optical signal, information of a basic group is obtained, and the detection result is obtained. And then eluting the fluorescence signal and the blocking group on the reversible terminator, and entering a new round of reaction to obtain the information of the next basic group. The experimental scheme is simple and convenient, the time is effectively saved, the cost is reduced, and the probe sequence on the microsphere can be efficiently and accurately determined.

The invention relates to the technical field of aquatic shrimp brood determination, in particular to a method and system for determining the brood amount of shrimps. If the brood expansion state is a first-class brood expansion state, cluster node clustering is carried out on the prawn egg distribution pattern, a minimum spanning tree for describing prawn egg breeding division is constructed, fitting and statistics are carried out according to a reference volume model of prawn eggs in different brood colors of the minimum spanning tree, and a first prawn brood amount measurement scheme is obtained; if the brood expansion state is a second-class brood expansion state, standard shrimp egg distribution textures are extracted based on shrimp egg distribution image data of the breeding stage of the shrimp eggs, variation processing is executed through the ratio of the standard shrimp egg distribution textures to the actual shrimp egg distribution textures and the standard phenotypes of the shrimp eggs, and the final brood amount is obtained through fitting statistics. And obtaining a second shrimp brood amount measurement scheme. According to the method, the brood amount of the prawns can be efficiently and accurately measured, tedious steps of traditional manual measurement are replaced, and the measurement accuracy of the brood amount of the prawns is improved.

The invention discloses a flood depth extraction method and system based on a remote sensing image and electronic equipment, and the method comprises the steps: carrying out the water extraction based on SAR image data of a target region and a trained water extraction model, so as to obtain a water extraction result; obtaining original river channel data, and superposing the original river channel data and the water body extraction result to obtain a flooding area; obtaining original DEM data of the target area, establishing a hydrological relationship based on the original DEM data, and obtaining a nearest neighbor drainage network relative height map of the target area; and determining the flood depth of the flooding area based on the relative height map of the nearest neighbor drainage network, and generating a water body depth map of the flooding area. According to the method, the flood depth can be efficiently and accurately determined, the flooding area water body depth map is generated, and the method has multiple advantages in the aspects of calculation efficiency, extraction precision, application range, data dependence, operation difficulty and the like.

The invention provides a data importing method and device, equipment, a medium and a program product, which can be applied to the technical fields of big data, databases and financial science and technology. The method comprises the following steps: processing a file name of a to-be-imported file by utilizing a character string segmentation method to obtain an extended name of the file name; a file header of the to-be-imported file is read through a file reading method corresponding to the extension name, and the file header comprises a plurality of field names; determining a plurality of data conversion rules of field values respectively corresponding to a plurality of field names of the to-be-imported file based on the extension name and the file header; based on a plurality of data conversion rules, converting the field values corresponding to the plurality of field names respectively to obtain converted field values; the multiple conversion field values are imported into a data table to be filled according to the corresponding relation between the field values and the field names, a target data table is obtained, and the data table to be filled is created in a database according to the file header.

The invention discloses a rock-soil physical parameter calibration method and a rainfall landslide disaster risk prediction method under the rainfall condition, and relates to the technical field of geological disaster risk assessment and early warning. The rock-soil physical parameter calibration method under the rainfall condition depends on a TRIGRS model to take rock-soil body cohesion and an internal friction angle as parameters to be calibrated; aiming at the problems of uncertainty and spatial heterogeneity of rock-soil body parameters, the rock-soil body parameters are divided into different engineering geological rock group areas according to rock-soil body characteristics in a research area, and underground water level dynamic response is used as rainfall process constraint; according to the method, the cohesion and internal friction angle parameters of different engineering geological rock composition subareas in the research area are subjected to inversion calibration by combining historical rainfall landslide distribution in the research area, so that the key physical and mechanical parameters of the rock-soil body can be determined more efficiently and accurately in a more time-saving and labor-saving manner; based on the TRIGRS model after parameter calibration, the spatial distribution characteristics of rainfall landslide disasters in a research area can be predicted more truly and accurately.

This invention relates to the field of pharmaceutical and chemical intermediates technology, and discloses a novel class of substituted phenylethyl-O-β-D-glucuronide compounds. These compounds are generated using substituted phenylethanol as a substrate and 1-fluoro-D-glucuronic acid as a glycosyl donor, catalyzed by β-glucuronyltransferase derived from *E. coli*. The process yield can reach over 95%, and the reaction conditions are mild and environmentally friendly. Substituted phenylethyl-O-β-D-glucuronide can be efficiently used for the determination of β-glucuronidase activity, and its applications are wide-ranging and reliable. The product can meet the needs of pharmaceutical, food, and other fields for β-glucuronidase activity control. It can be used for enzyme activity detection in the auxiliary diagnosis of clinical diseases, and also for enzyme quality control in fruit juice clarification processes in the food industry, drug precursor activation, and glycan structure analysis in the biopharmaceutical field. The product structure has been verified to be accurate by mass spectrometry and 1H NMR spectroscopy, and enzymatic hydrolysis experiments have confirmed its reliable application.

The application provides an information query method and device, wherein the information query method comprises: obtaining an information query request, wherein the information query request comprises a query object; in a preset relationship graph, at least one specified object associated with the query object through a channel is found, wherein the preset relationship graph is constructed based on a plurality of objects and the association relationship between the plurality of objects, and the preset relationship graph carries information acquisition indicators and information transmission indicators of the plurality of objects; and a query result corresponding to the query request is determined according to the information transmission indicators and the information acquisition indicators of the at least one specified object and the channel indicators of the channel. Through the use of the preset relationship graph, the at least one specified object can be efficiently and accurately found, and the query result corresponding to the query request is further determined according to the information transmission indicators and the information acquisition indicators of the at least one specified object and the channel indicators of the channel, thereby improving the efficiency of determining the query result and the accuracy of the query result.