183results about How to "Understand clearly" patented technology

The invention relates to the technical field of internet finance, in particular to an enterprise credit recommendation method and device based on multi-model integration. The recommendation method comprises the following steps: step 1, data collection; 2, data preprocessing; step 3, feature extraction; 4, model training; 5, credit product matching; and 6, recommending and outputting. According to the invention, by collecting and analyzing the multi-dimensional data of the enterprise, combining the characteristics and requirements of credit products issued by multiple banks, and utilizing machine learning and data mining technologies, personalized and accurate credit product recommendation services are provided for the enterprise. The technology not only improves the accuracy and efficiency of credit product recommendation, but also provides more scientific decision support for banks and financial institutions, optimizes the credit approval process and resource configuration, reduces the credit risk, and improves the overall operation efficiency. And meanwhile, through visual recommendation result display, enterprise users are helped to understand and select credit products more clearly.

The invention relates to the technical field of thrust rod ball pin press-fit, in particular to a thrust rod ball pin press-fit device and a thrust rod, the thrust rod ball pin press-fit device comprises a bottom box and a workbench fixedly connected to the bottom box, a punching machine is mounted at the top of the workbench, a placement seat is fixedly connected to the top of the workbench, a guide seat is fixedly connected to the top of the workbench, and an electric sliding rail is slidably mounted on the guide seat. After a thrust rod is placed, an electric rotating rod is started to drive a straight gear to rotate reversely, the straight gear drives an annular disc to rotate forwards through an outer gear ring, the annular disc drives three contact rods to move in the direction close to one another through inclined holes, and the contact rods drive three positioning frames to move in the direction close to one another through L-shaped plates and connecting springs; the three positioning frames center and position the ball seats of the thrust rods, under the action of the connecting springs, the positioning frames can center and position the ball seats of the thrust rods of different sizes to complete press-fit, manual correction and replacement positioning work are not needed, the operation continuity is high, convenience is achieved, and therefore the press-fit efficiency is improved.

The embodiment of the invention provides a page display method and device, equipment, a medium and a product. The method comprises the following steps: in response to a trigger operation of a target user on a displayed resource distribution card, displaying a target resource displayed on the resource distribution card according to a first preset animation; when it is detected that the preset condition is met, the object display area is displayed in the current page in a preset form, and the target resource is displayed in a second preset animation; and displaying a target page of the target column, and displaying the resource attribute information of the target resource at a preset position of the target page. According to the technical scheme, the operation steps of displaying the target page are simplified, the operation path is shortened, the resource display process of displaying the distribution resources according to the corresponding page is achieved, the effect of clearly and visually determining the special column for distributing the virtual resources on the basis of the resource display information of the distribution resources in the corresponding page is achieved, and the display efficiency is improved. And the page view and page view of the resource display page corresponding to the distributed resources are effectively increased.

The invention provides a water channel salt tide evolution simulation system based on a long-memory double-autoregression model, and belongs to the field of data processing. The simulation system comprises a data acquisition module, a data preprocessing module, a model training module, a simulation module and a visualization module. The data acquisition module is responsible for collecting hydrological data of a plurality of positions in a water channel, and the data preprocessing module carries out standardization and non-integer order differential transformation on the data so as to process time correlation of long-term numerical values. And the model training module carries out training by adopting a double-autoregression model based on the preprocessed data, and carries out parameter fitting by using an LSTM neural network to generate a salt tide evolution model. The model comprises a long memory part and an autoregression part which are respectively used for capturing long-term dependence and short-term fluctuation of data. The simulation module utilizes the trained model to predict future salt tide evolution, and the visualization module displays a prediction result in a visual graphic mode.

The present disclosure provides a method performed by a terminal in a wireless communication system. The method comprises: receiving first information indicating at least one DMRS type from a base station via RRC signaling; receiving, from the base station via MAC-CE signaling, second information indicating whether to activate an enhanced DMRS type corresponding to the at least one DMRS type; and receiving a PDSCH from the base station or transmitting a PUSCH to the base station on the basis of the enhanced DMRS type in a case where the second information indicates activation of the enhanced DMRS type.

The invention provides a mud-phase shale component quantitative analysis and calculation method, which relates to the technical field of geological mineral exploration and mainly comprises the steps of sample collection and pretreatment, X-ray diffraction pattern acquisition, pattern analysis and mineral component determination, quantitative calculation based on an innovative model, result correction and evaluation and the like. Through an innovative quantitative analysis model and a strict sample processing flow, the content of various mineral components in the mud-phase shale can be more accurately determined, analysis errors are reduced, more reliable data support is provided for geological research and resource exploration, and compared with a traditional method, the method has the advantages that operation steps are simplified, analysis efficiency is improved, and the method is suitable for popularization and application. According to the method, the quantitative analysis of the mud-phase shale components can be completed in a shorter time, the progress of research and exploration is accelerated, the dependence on complex and expensive chemical analysis equipment is reduced, the experiment cost and the human input are reduced, and meanwhile the utilization efficiency of resources is improved.

Disclosed are a data transmission method and a data reception method of a wireless communication system and a device thereof. A terminal of the wireless communication system includes a communication module and a processor, and the processor is configured to control the communication module. The processor receives a radio resource control (RRC) signal from a base station of the wireless communication system through the communication module, and determines a time-frequency resource corresponding to at least one resource set indicated by the RRC signal. The processor receives a physical control channel from a base station through the communication module, determines a time-frequency resource domain in which a physical data channel of a terminal is scheduled to be received through the physical control channel, and receives a physical data channel based on the time-frequency resource in which the physical data channel of the terminal receives the scheduled time-frequency resource and the time-frequency resource in which at least one resource set overlaps. The resource set is a collection of time-frequency resources.

The invention discloses a log diagnosis method and device based on flow arrangement, equipment and a medium. Comprising the steps of obtaining log data, and obtaining an arrangement diagnosis task; determining abnormal alarm data in the log data, and determining a target arrangement diagnosis task according to the abnormal alarm data; and diagnosing the abnormal alarm data based on the target arrangement diagnosis task to generate a diagnosis result, and displaying the diagnosis result, the diagnosis result including a single fault diagnosis result and a comprehensive fault diagnosis result. Through diagnosis process arrangement, information required by diagnosis can be comprehensively covered, diagnosis process planning can be clarified, a basis is provided for subsequent accurate diagnosis, and systematicness and orderliness of diagnosis work are ensured. The efficiency of the diagnosis process is improved, and the method can adapt to complex and changeable operation and maintenance scenes. Through visual display, a user can intuitively and clearly know the fault condition, a decision can be quickly made, corresponding repair measures can be taken, and the timeliness and effectiveness of fault processing are improved.

The invention relates to a quantitative evaluation method for a data asset management value. The method comprises the following steps: S1, calculating a business case data asset management income; s2, calculating normalized data asset management income based on the data item single call RTB income and call times; s3, calculating business case data asset management cost and normalized data asset management cost; and S4, calculating a data asset management value, a business case data asset management value and a normalized data asset management value. Compared with the prior art, the method has the advantages of quantizing the data value and the like.

The invention discloses an intelligent monitoring and safety emergency system based on the health state of a vehicle driver, and relates to the technical field of safe driving. Comprising the steps that the state of a current driving vehicle of a driver is obtained through a physical sign obtaining module and an image recognition module, and when an early warning prompting module recognizes that health data, gravity data and facial expressions of the driver exceed normal ranges, it is indicated that the driver is at risk of myocardial infarction and other abnormal states. Through the vehicle steering wheel and the vehicle seat cushion, direct contact with a driver can be achieved, various accurate driver physical sign data are obtained, the image recognition module is combined to recognize expression features when the driver pains or not, and whether the driver is at risk and has an abnormal state or not is jointly judged. When an abnormal state occurs due to risks, early warning is carried out to remind that the body is possibly abnormal, the vehicle is prevented from being driven again as much as possible, if the body cannot be controlled, rescue is directly requested, a driver is rescued as soon as possible, and loss is effectively reduced.

The invention discloses an injection molding raw material warehousing registration management system based on Internet of Things, which belongs to the technical field of warehousing registration management systems and comprises a raw material information acquisition module, a warehousing registration terminal, a data transmission and storage system, an inventory management module, a raw material tracing module, a report and statistical analysis module and a user management module. According to the injection molding raw material warehousing registration management system, by introducing the Internet of Things module, real-time monitoring and data collection of raw materials from warehousing to inventory management are achieved, and the data accuracy and timeliness are improved. The new warehousing registration terminal simplifies the process and ensures data integrity and consistency. The new inventory management module adopts a series of innovative technologies, a prediction model accurately predicts demands, a visualization function helps a manager to discover problems in time, a scheduling system optimizes configuration, a sharing cooperation mechanism promotes information sharing and cooperation, the response capability and flexibility of a supply chain are enhanced, and powerful support is provided for enterprise purchase and production.

A display device according to one embodiment of the specification includes a substrate, a thin film transistor provided over the substrate, a protective layer provided over the thin film transistor, a first electrode provided over the protective layer and electrically connected to the thin film transistor, a bank portion provided to span the first electrode and the protective layer and defining a light emitting region exposing the first electrode and a trench exposing the protective layer, wherein the bank portion defining the light emitting region has a positive taper shape, and the bank portion defining the trench has an inverse taper shape.

The present invention provides a method and device for classifying demand documents based on machine learning, which can be used in the field of financial technology. The present invention classifies demand documents through a machine learning model, which solves the problem that current demand documents need to be manually classified, meets the needs of architects and developers, and reduces the learning cost of architects and developers for flowchart design. The requirements are visualized, allowing the architecture to express the requirements more accurately, allowing developers to understand the requirements more clearly, increasing the effective coding time of developers, and improving the accuracy of classification through continuous learning.

The invention relates to the technical field of articular ligament reconstruction operation planning, in particular to an articular ligament reconstruction operation planning system and method, and the system comprises a data collection module which is used for obtaining the joint image data and physiological parameters of a patient; the artificial intelligence analysis module comprises a storage for storing instructions and a processor, and the processor executes the instructions to execute the following operations: the joint ligament reconstruction operation planning system can accurately process joint image data of a patient by integrating the advanced artificial intelligence analysis module; and the ligament injury is comprehensively evaluated based on a deep learning algorithm. The accurate analysis capability ensures individuation and accuracy of surgical planning, so that the surgical accuracy is remarkably improved. Meanwhile, by means of the real-time navigation and auxiliary functions provided by the system, doctors can know the operation area more clearly in the operation process, operation errors are reduced, and the safety of the operation is improved.

A stereoscopic image display device is disclosed. The stereoscopic image display device includes a display panel and a plurality of optical path control components disposed on the display panel. The display panel includes a plurality of pixels that emit light of different colors, wherein the plurality of pixels are disposed in a first direction and a third direction that intersect each other, and the plurality of optical path control components are disposed in a second direction, the second direction being the direction between the first direction and the third direction.

The present disclosure provides a method of recovering a valuable substance from a waste liquid, comprising: in a treatment of a waste liquid generated during purification of a reaction product in a petrochemical process in which a raw material is reacted in the presence of a catalyst to produce the reaction product, purifying the reaction product to collect a waste liquid comprising unreacted raw material, the catalyst, a material to be removed, and water, the waste liquid is supplied to the valuable substance recovery tower; in a valuable material recovery column, distilling the waste liquor to recover an upper discharge stream comprising unreacted feedstock and catalyst, and cooling a lower discharge stream comprising material to be removed and water; and supplying the cooled lower discharge stream from the valuable substance recovery column to a layer separator to separate the stream into an aqueous layer and an organic layer, diverting and refluxing a portion of the aqueous layer to the upper portion of the valuable substance recovery column, and discharging the remaining aqueous layer.

The present application discloses a screen sharing method, system, device and medium, which relates to the field of intelligent recognition technology. The method includes: receiving a pre-sharing interface and customer information sent by a business end; obtaining interface information in the pre-sharing interface; inputting the interface information and customer information into a preset neural network model to obtain term definitions output by the neural network model; integrating the term definitions in the pre-sharing interface to obtain a sharing interface; and sending the sharing interface to the client and the business end. The technical solution provided by the present application can help customers understand the professional terms in the shared content sent by the salesperson during the business handling process. At the same time, the salesperson can also provide further explanations to customers based on the term definitions in the sharing interface, so that customers have a clearer understanding of the business content and improve their business experience.

The present invention discloses a writing assistance system and method based on a grid and computer vision, belonging to the field of image recognition technology, and specifically comprises: collecting written text images uploaded by users, dividing a writing paper area and a background area; performing direction correction on the written text image according to the placement direction of the writing paper; selecting a text area in any grid in the writing paper, detecting the distance between the upper and lower parts or the left and right parts of the text, and if the distance is greater than a preset distance, judging that the text structure is not standardized; being used to select a text area in any row, horizontally enlarging the text area in each grid with the vertical line where the center point of the grid is located as the starting point, until the text areas in adjacent grids are in contact, generating a continuous text pixel strip area, calculating the slope of the strip area fitting straight line, and judging that the text handwriting of the row is insufficient in continuity; the present invention improves the efficiency of evaluating written handwriting.

The invention relates to an electronic component welding defect visual detection method and system based on multispectral imaging, and the method comprises the steps: obtaining a preset multiband sequence image, collected by a multispectral imaging terminal, of a to-be-detected welding region when a data collection instruction is received; constructing a three-dimensional morphology point cloud of the to-be-detected welding area based on the multi-band sequence image; extracting associated feature vectors related to the welding quality in the multi-band sequence image, and performing weighted fusion on associated features under different bands to generate a fusion feature map; performing space matching alignment on the fused feature map and the three-dimensional topography point cloud, and outputting geometric position information of the associated feature vector in the three-dimensional topography point cloud; identifying and judging whether defect features are formed or not; when it is judged that the defect features exist, defect types corresponding to the defect features are screened out, and quantitative information corresponding to the defect features is calculated. The method has the advantages that welding spot detection is more comprehensive, and welding spot defects are accurately analyzed.

A display device according to one embodiment of the present specification includes: a substrate defining an optical region including a transmissive region and a non-transmissive region having different light transmittances and displaying a screen; a thin film transistor disposed on the substrate; a protective layer disposed on the thin film transistor; a light emitting portion disposed on the protective layer; and a transparent and magnetic close contact member disposed on the protective layer, in which the light emitting portion is disposed in the non-transmissive region, and the close contact member is disposed in the transmissive region.

The utility model relates to a transformer electric leakage monitoring system, which belongs to the technical field of transformer monitoring, and comprises an electric leakage monitoring device, a communication unit and a remote server, the electric leakage monitoring device is connected to the remote server through the communication unit, and the electric leakage monitoring device comprises a monitoring box. A leakage current sensor, a signal processing circuit, a display, a controller, an alarm, a cleaning assembly and a power supply unit for supplying power to the whole system are arranged in the monitoring box; according to the utility model, real-time electric leakage monitoring is carried out on the transformer through the leakage current sensor, and leakage current data monitored by the leakage current sensor are processed, so that the accuracy of the data is improved; besides, a cleaning assembly is arranged on the outer side of the display, so that field staff can know the monitoring condition more clearly when checking the display, and the situation that observation is affected due to the fact that the display is dirty is prevented; and finally, the device is powered by the charger, the solar panel and the storage battery, so that the stability of power supply is effectively improved.

The invention provides a medical service system based on a knowledge graph and logistic regression. The medical service system comprises a data acquisition and preprocessing module; a data storage module; a data processing and analyzing module; a data visualization module; a knowledge graph module; and a disease prediction module. The system focuses on teenagers, middle-aged people and old people, and four system modules of disease analysis, disease science popularization, disease prevention and health maintenance are set according to different susceptibility characteristics of different groups, so that people can have clearer understanding, prevention and coping means for diseases and health in daily life.

The present application provides a video playback method, device, equipment and computer-readable storage medium; the method includes: playing the video content of a target video in a playback interface; in the process of playing the video content, when there is an associated video associated with the currently played video content, presenting association indication information containing a video thumbnail of the associated video; wherein the association indication information is used to indicate that the video corresponding to the video thumbnail has an association relationship with the currently played video content; based on the presented association indication information, when a trigger operation for the video thumbnail is received, the associated video corresponding to the video thumbnail is played. Through the present application, the viewing operation of the associated video can be simplified, saving the user's operation cost and time cost.

The utility model discloses a multifunctional anti-fake cover assembly which is applied to a container, when liquid is taken out for the first time, a jacking linkage mechanism can act on an anti-fake block to rotate and unfold relative to an anti-fake seat, so that an anti-fake assembly becomes larger integrally, the anti-fake assembly is prevented from being taken out from an opening of the container, and the multifunctional anti-fake cover assembly has the advantages of being good in anti-fake effect, simple in structure and low in manufacturing cost.

The application belongs to the technical field of pathological grading, and particularly relates to a lymphoma histological grading method, which comprises the following steps: screening a plurality of regions of interest rich in diagnostic information in a lymphoma pathological section image; inputting the regions of interest into a trained Hover-Net nuclear segmentation model to output a cell separation image; the cell separation image can mark the regions of different cell types, the positions of each cell and the classification information thereof; inputting the cell separation image into a classifier to output a histological grading result and the number of each cell type. The application improves the diagnostic accuracy and efficiency of follicular lymphoma pathological grading by efficiently recognizing lymphoma pathological section images of different pathological grades through a Hover-Net nuclear segmentation model.

The application discloses a sequence data modeling method and system. The method comprises the following steps: S1, converting a multi-source heterogeneous original feature set at a current moment into an embedded vector of a unified dimension through a learnable mapping function, and integrating the embedded vector into a comprehensive feature embedded vector E_t; S2, calculating a space-time difference between the current event and a previous event, inputting the space-time difference into a learnable network after processing as a structured feature to generate a space-time correlation score vector R_st; and S3, inputting the R_st into a gated recurrent neural network as an adjusting signal to adjust a gate and update a cell state, so as to obtain a sequence state vector s_t. The enhanced state representation is sensitive to space-time dynamics, and the space-time correlation mode is improved in interpretability.

The invention relates to the technical field of archive management, in particular to an archive management system and method based on artificial intelligence, and the system comprises a feature extraction unit, an archive interface unit, an archive diagnosis unit, a node matching unit, a topology modeling unit, a defect evaluation unit and a defect marking unit, and further comprises an archive obtaining unit, a feature extraction unit and a feature extraction unit, the archive acquisition unit is used for acquiring electronic archives uploaded by a plurality of posts in a target enterprise to obtain an electronic archive set, and transmitting the electronic archive set to the archive processing unit. Through automatic classification and feature extraction of the electronic archives, manual processing time is reduced, archive management efficiency is improved, the trained model is utilized to analyze the electronic archives, defect types in the archives can be rapidly and accurately identified, correction measures can be taken in time, and through topology modeling, the efficiency of archive management is improved. The system can visually display the relationship between posts of an enterprise and the file flow direction thereof.

The intelligent distribution vehicle control method comprises the following steps: identifying an object; generating 2D point cloud data based on the data output from the 2D sensor, and generating 3D point cloud data based on the data output from the 3D sensor; correcting an offset of the 3D point cloud data based on the 2D point cloud data; and determining a position of a stack support mounted on the object based on the corrected 3D point cloud data.

This invention relates to an apparatus for sensing the input voltage of an inverter. The apparatus for sensing the input voltage of an inverter includes: a bus assembly comprising: a first terminal portion electrically connected to a battery; and a second terminal portion branching from the first terminal portion; and a substrate comprising: a contactor configured such that the second terminal portion is inserted into the contactor; and a voltage sensor configured to detect the battery voltage by receiving the battery voltage from the bus assembly via the contactor.