13results about How to "Efficient and accurate determination" patented technology

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.

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 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 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 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.

The application provides a point of interest determination method, a search method, equipment, a UAV, a system and an intelligent networked vehicle, and belongs to the technical field of point of interest search. The point of interest determination method comprises: acquiring a target point of interest of a user; acquiring target data corresponding to the target point of interest by a UAV; determining geographical coordinates of the target point of interest according to the target data, and displaying the target point of interest. The application aims to improve the efficiency and accuracy of point of interest recommendation, break through the limitations of existing map data, and improve the intelligence of vehicles.

The invention relates to a common-view matching method and device, equipment, a storage medium and a program product, and relates to the technical field of image processing. The method comprises the following steps: acquiring a plurality of image data through one or more acquisition devices; determining common-view matching pairs in the multiple pieces of image data based on acquisition state information of the acquisition equipment when the image data are acquired; the common-view matching pair includes a plurality of image data having a common-view region. Therefore, the field-of-view relationship between the images can be fully considered, and the common-view matching pairs in the image data acquired by the plurality of acquisition devices can be efficiently and accurately determined.

This invention discloses a method for determining the content of hexane extract in polyethylene, belonging to the field of analytical testing. The method comprises the following steps: Step 1: Wrapping polyethylene material with filter paper; Step 2: Placing the sample in a flask containing hexane and extracting it in a water bath; Step 3: Drying in an oven; Step 4: Weighing the total weight of the dried sample and filter paper; Step 5: Calculating the hexane extract content of the sample. This method solves the problems of insufficient applicability to various forms of polyethylene, unstable extraction efficiency, cumbersome operation, large testing errors, and low testing efficiency in existing standard methods for testing the content of hexane extract. By optimizing the sample preparation, extraction, and filtration processes, it achieves efficient and accurate determination of hexane extract in polyethylene powder, granules, and films of different forms.

This invention provides an LSW laser welding method and system, relating to the field of laser welding technology. The method includes acquiring three-dimensional information of a large structural component and information of multiple welding robots; using a stress analysis model based on the three-dimensional information of the large structural component to determine multiple high-stress regions and multiple low-stress regions; constructing a collaborative task map based on the multiple segmented sub-paths; processing the collaborative task map based on a graph neural network to determine preliminary welding information for one or more welding sub-paths corresponding to each welding robot; and controlling multiple welding robots to perform LSW laser welding based on the target welding information of one or more welding sub-paths corresponding to each welding robot. This method can efficiently and accurately determine a multi-robot LSW welding information adaptation scheme for large structural components.