25results about How to "Get efficiently" patented technology

The invention relates to the technical field of network traffic data analysis, in particular to a network traffic data analysis method based on a traffic large model. The method comprises the following steps: collecting network flow data from network flow management equipment, analyzing messages in a flow data packet based on a network protocol or application features and the like, and extracting key feature information; and recording corresponding specific behavior operation of the traffic data in the network platform by using the data label, collecting and forming a behavior data set, constructing a traffic large model based on the general large model, and training and verifying the model by inputting the behavior data set. The large model is applied to network management equipment, behavior data of network users are recorded, then the behavior data are counted to form a visual chart, possible behaviors of the next network users can be predicted through the current behavior data, and network managers are helped to supervise behavior specifications of the users and guarantee safety of a network platform.

The invention provides an anoxic and endogenous formaldehyde dual-response supramolecular fluorescent probe as well as a preparation method and application thereof, and belongs to the technical field of fluorescent probes. The supramolecular fluorescent probe provided by the invention is composed of azobenzene calixarene and a formaldehyde response fluorescent probe included in the azobenzene calixarene. The supramolecular fluorescent probe provided by the invention can simultaneously respond to oxygen deficit and high endogenous formaldehyde microenvironment characteristics and generate a stronger near-infrared fluorescent signal for analysis and detection, so that false positive signal interference is reduced, high-specificity imaging under tumor microenvironment conditions can be realized, and a new mode is provided for precise imaging of tumors. Compared with the existing fluorescent probe, the supramolecular fluorescent probe provided by the invention combines the detection of two important biomarkers in the tumor generation and development processes, and does not need to introduce a large-volume targeting group into the molecule; the preparation method is simple, the structure is novel, the imaging performance is excellent, and the tumor is accurately subjected to near-infrared fluorescence imaging tracing.

The invention discloses a power distribution network operation multi-target optimization scheduling method and system, and solves the problem that the existing method cannot decompose and predict high-frequency and low-frequency sequence trends of target control parameters such as wind and light power generation from the perspective of high-frequency fluctuation and low-frequency trends of the control parameters. The method comprises the following steps: acquiring target point load and wind and light power generation output parameters in the power distribution network; summing the intra-day low-frequency prediction sequence and the intra-day high-frequency prediction sequence of the target point, generating an intra-day demand response curve of the target point by the bidirectional long-short-term memory network model, and outputting a multi-target optimization scheduling scheme based on the demand response curve and the power distribution cost prediction sequence; according to the method, the power distribution cost sequence parameters are decomposed by adopting the variational mode decomposition method, so that the high-frequency cost sequence and the low-frequency cost sequence of each target point are quickly and efficiently obtained, the complexity of the load sequence is remarkably reduced, and accumulated errors during prediction are reduced.

The invention provides a discrimination method, a model training method and device, a discrimination system and a related product, and belongs to the technical field of artificial intelligence. The judgment method comprises the steps of calling a first judgment model to perform first judgment on a target agent based on target execution data under the condition that a judgment request for the target agent is received, and obtaining a first judgment result; under the condition that the first judgment result meets a preset screening condition, calling a second judgment model to perform second judgment on the target agent based on the target execution data to obtain a second judgment result; wherein the target execution data is execution data which is carried in the discrimination request and is used for representing that the target agent executes the target instruction, and the preset screening condition is used for determining whether to call a second discrimination model to discriminate the target agent again according to the confirmation degree of the first discrimination result. According to the embodiment of the invention, resource overhead and time delay can be reduced.

The embodiment of the present invention relates to a method, device, electronic device and storage medium for reconstructing a three-dimensional face model, including: obtaining a face image pair of a target object under N viewing directions; for a face image pair under any viewing direction, determining a target color image according to a color image and a depth image in the face image pair; inputting the target color image into a preset image algorithm plug-in to obtain a face area in the target color image; converting the target color image into a face mask matrix according to the face area; using the face mask matrix, processing the depth image to obtain a target depth image, and converting the target depth image into a face point cloud of the target object under the viewing direction; determining a target face point cloud according to the face point cloud of the target object under N viewing directions, and performing surface reconstruction on the target face point cloud to obtain a three-dimensional face model. Thus, it is possible to obtain a face point cloud more conveniently and efficiently.

The present invention relates to the field of chip design, and in particular to an analysis library construction method, a design layout method, a system and a storage medium. The analysis library construction method provided by the present invention comprises the following steps: providing standard cells in the design process of the design layout; selecting standard cells to be adjacently set and detecting bad pixel values ​​when the standard cells are adjacent based on a neural network model; collecting bad pixel values ​​to obtain a standard cell analysis library of the standard cells. The present invention uses a neural network model to quickly analyze the bad pixel values ​​when various preset standard cells are adjacently set, and sets the standard cell combination and its corresponding bad pixel value set as a standard cell analysis library. The fast analysis and processing capability of the neural network model is used for analysis, so that the time required to construct the standard cell analysis library is relatively short. At the same time, searching and consulting the standard cell analysis library can quickly and efficiently obtain the bad pixel values ​​when different standard cells are adjacently set.

The invention provides a light-promoted release supramolecular diagnosis and treatment prodrug as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The light-promoted release supramolecular diagnosis and treatment prodrug provided by the invention consists of a calixarene prodrug and a photosensitizer included in the calixarene prodrug, and has the advantages of simple preparation method, breast cancer hypoxia response targeted therapy, real-time near-infrared fluorescence imaging tracing, light-promoted drug release and the like. The light-promoted release supramolecular diagnosis and treatment prodrug provided by the invention not only can realize accurate diagnosis and targeted treatment of breast cancer in vivo, but also can cause local hypoxia of a tumor microenvironment by virtue of photodynamic characteristics of the photosensitizer, realizes light-promoted drug release, and provides a new way for accurate and controllable diagnosis and treatment requirements of breast cancer.

The present invention discloses a method and device for designing and evaluating a valve, the method comprising: obtaining a patient's coronary CTA image sequence, and constructing a physical model of the aortic root, aortic valve, and left ventricular outflow tract based on the CTA image sequence; determining different artificial valve physical models, blood flow related parameters, and the release position of the artificial valve; based on the physical model and blood flow related parameters, using a valve replacement model pre-trained based on the acquired real CTA image sequence to sequentially simulate the process of placing each artificial valve physical model in the release position to obtain corresponding simulation results; determining a valve implantation risk index based on the simulation results; and selecting the design parameters of the artificial valve based on the valve implantation risk index. Using the scheme of the present invention, individualized artificial valve data can be obtained efficiently, quickly, and accurately, providing an effective reference for clinical transcatheter aortic valve replacement surgery, and also providing an effective reference for the design of new valve models.

The application discloses a product environment stress estimation method, system, device and storage medium, which is applied to the product evaluation technical field and comprises the following steps: receiving environment stress time series data of a measured product at each set detection position collected by a sensor; determining each stress extreme position and an environment stress value of the measured product under a determined working condition; constructing a Kriging model; inputting physical size information of the measured product, coordinate information of each set detection position, environment stress time series data, coordinate information of each stress extreme position and the environment stress value into the Kriging model and performing interpolation through grid division to obtain each environment stress field matrix of the measured product output by the Kriging model in time sequence, and determining an environment stress value of a target position at a target time. According to the scheme, the environment stress at each position of the measured product at each time can be conveniently and effectively estimated, and the accuracy is relatively high.

The invention provides a chip packaging method, a chip packaging module and electronic equipment. The method comprises the steps that a first packaging layer embedded with a first bonding pad layer, at least one first circuit layer and a second bonding pad layer which are electrically connected layer by layer is formed on a wafer, the first side of the first packaging layer makes contact with the wafer, the first bonding pad layer is formed on the first side of the first packaging layer, and the second bonding pad layer is formed on the second side of the first packaging layer; the first circuit layer is exposed from the second side of the first packaging layer, and the line width of the circuit in the first circuit layer is smaller than or equal to 2 microns; a second packaging layer is formed on the second side of the first packaging layer, third bonding pad layers and at least one second circuit layer are embedded in the second packaging layer, the third bonding pad layers are electrically connected layer by layer, the third bonding pad layers are electrically connected with the second bonding pad layers, and the minimum line width of the circuits in the second circuit layer is larger than that of the circuits in the first circuit layer; and removing the wafer in contact with the first side of the first packaging layer, exposing the first bonding pad layer, and electrically connecting the chip to the first bonding pad layer to obtain the chip packaging module.

The invention provides a video image quality enhancement method and device, electronic equipment and a storage medium, and the enhancement method comprises the steps: obtaining a source video, and constructing a corresponding source video image frame set according to the frame image of the source video; inputting the source video image frame set into a pre-trained multi-scale image quality enhancement model, and extracting an image quality enhancement image frame set; acquiring a corresponding image quality enhanced video according to the image quality enhanced image frame set; and carrying out resolution and code rate conversion on the image quality enhanced video to obtain a plurality of multi-scale enhanced videos with different resolutions and different code rates. Compared with the prior art, the multi-scale image quality enhancement model can obtain the video image residual errors of the source video under a plurality of different resolutions and different code rates, so that in the conversion process of the resolutions and the code rates, information in the video image residual errors can be combined only through one-time image quality enhancement operation, and the conversion efficiency of the source video is improved. And the multi-scale enhanced video can have higher quality.

The present invention provides a MIMO scenario channel estimation method based on fully connected deep learning. The method comprises the steps of: constructing a data set; constructing a deep learning model based on fully connected deep learning; repeatedly training the deep learning model, and recovering an equivalent channel matrix through prediction data, comparing the matrix with its corresponding channel state information label, and evaluating the output of the deep learning model through minimum mean square error; obtaining an optimized deep learning model for obtaining channel state information through verification data. The present invention focuses on learning OTFS pilot information through a fully connected network to complete the channel estimation task, significantly improving the accuracy of channel estimation and reducing the overhead of pilot resources while maintaining high performance.

The application provides a URL determination method and device, electronic equipment and a storage medium, relates to the technical field of networks, and solves the technical problem that all URLs corresponding to a web application cannot be accurately and completely determined in the related art. The method comprises the following steps: determining a physical position corresponding to each application in at least one application; obtaining a file name of an accessed file corresponding to each application based on the physical position corresponding to each application; and determining a URL corresponding to each application based on a position name of the physical position corresponding to each application and the file name of the accessed file corresponding to each application.

The invention relates to the technical field of electrochemical conversion, in particular to a tin-based catalyst and application of the tin-based catalyst in synthesis of formic acid through electrocatalytic conversion of carbon dioxide. The rare earth element is doped in the tin-based catalyst, the rare earth element is doped in the tin-based catalyst in a monatomic form, and tin in the tin-based catalyst exists in a tin dioxide form, so that the catalytic activity of the catalyst and the formic acid selectivity are effectively improved. The tin-based catalyst is loaded on an electrode for synthesizing formic acid by electro-conversion catalysis of carbon dioxide, formic acid can be obtained with high efficiency and high stability, and when the potential is-1.0 V vs.RHE, the current density can meet the industrial current density requirement.

This disclosure relates to an information processing method, apparatus, server, and storage medium, and pertains to the field of Internet technology. The method includes: a first server receiving an information processing request sent by a second server, the information processing request including an authorization token for first business data; determining first target information based on the authorization token for the first business data and a first correspondence relationship, the first correspondence relationship including multiple authorization tokens and target information corresponding to each of the multiple authorization tokens; performing preset processing on the first target information based on a first string to obtain the first business data; and sending the first business data to the second server. The technical solution provided by this disclosure can improve the accuracy of business data acquisition.

The invention belongs to the technical field of medicinal chemistry, and particularly relates to a selenium-containing gentiopicroside nitroxide free radical derivative as well as a preparation method and application thereof. A series of selenium-containing gentiopicroside nitroxide free radical derivatives with a specific structure are prepared and synthesized through a chemical process, and the selenium-containing compound derivatives obtained by adding a selenium-containing structure on the basis of the gentiopicroside nitroxide free radical derivatives show good in-vitro ROS scavenging activity and anti-inflammatory activity; the expression level of an inflammatory medium iNOS is effectively reduced, and the compound has a wide application prospect in preparation of medicines with the effects of preventing, relieving or treating inflammation.

The invention provides a video image quality enhancement method and apparatus, an electronic device and a storage medium. The enhancement method comprises the steps of obtaining source video data and constructing a corresponding source video image set; inputting the source video image set into a pre-trained multi-gear image quality enhancement model, and respectively obtaining image quality enhancement image sets corresponding to the source video data under different resolutions and different code rates through a plurality of output channels in the multi-gear image quality enhancement model; and obtaining an enhanced video with a corresponding resolution and a corresponding code rate according to each image quality enhanced image set. Compared with the prior art, the image quality enhancement image sets corresponding to the source video data under different resolutions and different code rates are obtained through the plurality of output channels set by the multi-gear image quality enhancement model, and only one-time image quality enhancement operation needs to be carried out on the source video image set of the source video. On the premise of reducing the computing resource consumption of the playing equipment, videos of multiple different gears can be quickly and effectively obtained.

The invention provides a micro-class teaching method and system. The micro-class teaching method comprises the following steps: constructing a knowledge classification database; obtaining a demand of a target object, and determining course content according to the demand of the target object; performing knowledge point keyword extraction and scoring on course contents, forming index entries from keywords with scores, adding the index entries into a knowledge classification database, and establishing association between the knowledge classification database and teaching courseware; obtaining a target explanation knowledge point from the course content, and obtaining first teaching information, second teaching information, third teaching information and fourth teaching information according to the target explanation knowledge point; and obtaining final teaching information according to the first teaching information, the second teaching information, the third teaching information and the fourth teaching information, and sending the final teaching information to a specified position. The system is low in cost, can meet the requirements of students under different conditions, and improves the learning efficiency of the students.

Disclosed is a method for eluting iodine from iodine-adsorbed activated carbon. The method comprises an iodine elution step in which iodine-adsorbed activated carbon is brought into contact with an eluent having a pH of 13 or higher, thereby eluting iodine from the iodine-adsorbed activated carbon, and the iodine elution step is performed at 0 to 40°C.

The present invention discloses a battery separator capable of in-situ regulating polarization strength, and a preparation method and application thereof, wherein a solution containing polyvinylidene fluoride-based copolymer powder is coated on the surface of a base film to obtain a separator having a polymer coating on the surface; a volatile polar solvent is then sprayed on the surface of the polymer coating, and the polar solvent is evaporated to obtain the separator. The battery separator comprises a base film and a PVDF-based ferroelectric polymer coating, wherein the proportion of the β phase in the entire PVDF crystalline phase reaches more than 80%, and the PVDF is a hollow network structure, the coating has a porosity of 20% to 80%, and a thickness of 1 to 10 μm. It has excellent ferroelectric and piezoelectric properties, and when used as a lithium battery separator, it can significantly improve the overall rate capacity and cycle stability of the battery. The preparation method is simple, low-cost, energy-saving and environmentally friendly, and suitable for industrial production.

The invention relates to the technical field of food detection, and discloses a food safety detection method and a food safety detection system. Each collected sample is pretreated; extracting bioactive substances from the pretreated sample to obtain a bioactive substance solution; adding dehydroacetic acid and a sodium salt standard solution thereof into the bioactive substance solution to obtain a target mixed solution; detecting the target mixed solution, and extracting feature data in the target mixed solution; inputting the extracted characteristic data into a dehydroacetic acid and sodium salt prediction model, and outputting to obtain the predicted content of dehydroacetic acid and sodium salt in each sample; according to the method, the predicted contents of the dehydroacetic acid and the sodium salt of the dehydroacetic acid corresponding to the plurality of samples are processed, the content of the dehydroacetic acid and the sodium salt of the food to be detected is obtained, if the content of the dehydroacetic acid and the sodium salt of the food to be detected exceeds the content threshold value of the dehydroacetic acid and the sodium salt, early warning is given out, and the method is simple, rapid and high in precision.

This utility model provides an auxiliary device for collecting anorectal manometry data in children, relating to the field of medical device technology. It includes an auxiliary device assembly with a sorting mechanism mounted on its top. A fixing mechanism is fixed to the bottom of the sorting mechanism. The sorting mechanism includes a fixed sorting tube, with an opening / closing sorting tube correspondingly mounted on its right side. A first arc-shaped guide ring is fixed to the top of the fixed sorting tube, and a second arc-shaped guide ring is fixed to the top of the opening / closing sorting tube. The fixing mechanism includes a concave seat, with the fixed sorting tube fixed to the concave seat. A collecting groove is formed on the top of the concave seat, and arc-shaped guide plates are symmetrically fixed to the bottom of the concave seat. Adhesive is bonded to the bottom of the arc-shaped guide plates. This utility model, through its design, can effectively assist in collecting anorectal manometry data in children, thereby ensuring the smooth progress of the data collection process.

This application discloses a method, system, device, and medium for processing blockchain consensus data, including: packaging business data generated by a database and sending it to a block-producing node; the block-producing node generating first signature data to be agreed upon based on the business data; sending the business data and the first signature data to a consensus node for consensus processing based on a target compressed data packet structure to obtain consensus data; wherein the target compressed data packet structure includes a target file header, a data area, and a file tail; wherein the target file header includes the original file header and file tail; packaging the consensus-adjusted business data into blocks for on-chain processing and storing the consensus data; when the number of consensus data groups stored in the blockchain blocks reaches a preset threshold, performing backup-based deletion processing on the consensus data. This application can improve consensus efficiency and block generation speed, reduce the storage pressure on nodes, effectively improve the operational stability of the blockchain system, and can be widely applied in the field of blockchain technology.

The utility model relates to magnesium alloy semi -solid injection moulding technical field discloses a magnesium alloy particle semi -solid temperature range measuring device, including support, hot nozzle, apron, temperature measurement unit, stirring unit, heating unit and temperature control unit. Through the observation of the macrostate of the magnesium alloy that falls or drops, without using other precision analytical instrument, can conveniently judge whether magnesium alloy is in semi -solid, and further determine the temperature range of magnesium alloy semi -solid, solve the problem that the technical personnel cannot actually measure the semi -solid temperature range of magnesium alloy particle under the condition that cannot use precision instrument in actual production.