25results about How to "Generate accurately" patented technology

The application relates to the technical field of intelligent diagnosis of vehicle-mounted operating systems, in particular to an intelligent diagnosis method and device for a vehicle-mounted operating system and a vehicle, wherein the method comprises the following steps: obtaining historical diagnosis data of the vehicle-mounted operating system, wherein the historical diagnosis data comprises at least one of historical logs, fault diagnosis results and a diagnosis rule library; performing block vectorization on the historical diagnosis data, constructing a vector database and storing the vector database in a local knowledge base, and searching current log data based on the knowledge base to obtain a search result; generating a training data set according to the fault diagnosis data and fine-tuning a large language model. The current log data and a target diagnosis task are input into the fine-tuned large language model, the fine-tuned large language model calls the local knowledge base to execute the diagnosis task, and a fault diagnosis result is generated based on the search result. Therefore, the problems that the fault diagnosis of the vehicle-mounted operating system in the related art depends on artificial experience or fixed rules, cannot dynamically fuse and intelligently infer, and is low in accuracy are solved.

Embodiments of the present disclosure disclose a resource warning method and device based on a computing node cluster and an electronic device. A specific implementation of the method comprises: determining whether to call the computing node cluster for resource processing; for each interactive object, determining the corresponding model calculation amount in the information prediction process; selecting a first computing node from the computing node cluster to support the call of each interactive object; for each interactive object, generating first historical resource overdue summary information and first future resource overdue summary information; generating second historical resource overdue summary information and second future resource overdue summary information; generating target resource quality information; and sending corresponding encrypted information to a target monitoring terminal to perform target warning under the condition that the resource quality warning condition is met. The implementation accurately and efficiently generates target resource quality information on the basis of reducing waste of computing resources through reasonable allocation of hardware resources.

This application discloses a method, system, electronic device, and storage medium for processing security logs, belonging to the technical field of network security technology. The method for processing security logs includes: acquiring multiple security logs from a target device; inputting the security logs into a log bypass processing unit and a log qualitative processing unit respectively; aggregating the security logs based on the log qualitative results output by the log qualitative processing unit to obtain security alarms; qualitatively classifying the security alarms; and generating corresponding security events based on the alarm qualitative results. This application can avoid aggregating normal business behavior and malicious attack behavior in the same security alarm, accurately generating security events.

This application belongs to the fields of artificial intelligence and fintech, and relates to an AI-based customer classification method, including: acquiring customer data and constructing a topological relationship network corresponding to the customer data; inputting the topological relationship network into a graph convolutional neural network for training to obtain a trained graph convolutional neural network; acquiring a target topological relationship network corresponding to target customer data, and processing the target topological relationship network through a customer segmentation model to generate segmentation results. This application also provides an AI-based customer classification device, computer equipment, and storage medium. Furthermore, this application relates to blockchain technology, and the customer segmentation model can be stored in the blockchain. The customer classification method of this application can be applied to user identification in the financial field, requires no labeled data for training, has low time complexity, and the use of the customer segmentation model can achieve fast and accurate generation of customer segmentation results.

This invention belongs to the technical field of 3D modeling for engineering construction. It discloses a method and system for modeling bulldozer operation maps in mining areas based on 5D Gaussian geometry. The method includes: S1 acquiring RGB images and depth data of the earthmoving operation area using an RGB-D camera; applying a contrast enhancement algorithm to the RGB data and vibration compensation to the depth data; and performing semantic recognition of the category of each pixel location; S2 back-projecting the depth data to generate a 3D point cloud; constructing 3D Gaussian units at the sampling points of the point cloud; and converting them into 5D Gaussian implicit units covering spatial, temporal, and semantic dimensions after fusing semantic category and timestamp information; generating a 3D implicit base map; S3 filtering the 5D Gaussian implicit units; and projecting to obtain a 2D rendered image. This invention provides 3D visualization support for bulldozer operation in mining areas, is applicable to scenarios such as mining, and solves modeling problems such as weak texture in earthmoving and equipment vibration interference.

This paper provides a table processing method, apparatus, electronic device, storage medium, and program product, applied in the field of human-computer interaction. The method includes: responding to receiving user input in a first table, outputting response information, whereby the user input includes table editing instructions composed of natural language, and the response information includes planning information generated based on the user input; and generating table content on a first page and / or a second page other than the first page of the first table based on the response information, whereby the table content includes at least one of the following: fields, row records, views, charts, workflows, and permission configurations. This paper solves the problems of cumbersome operation processes, low processing efficiency, and poor versatility. The corresponding beneficial effect is that it processes relevant tables based on received user input, thereby achieving intelligent table processing.

Embodiments of the present disclosure disclose a kind of intersection generation method, device, electronic equipment and computer readable storage medium, the method comprises: obtaining the high-precision map data in the preset road range, wherein the high-precision map data includes high-precision boundary lane line;Obtain the standard-precision map data matched with the high-precision map data, wherein the standard-precision map data includes standard-precision intersection node and standard-precision road section line;In response to the intersection of the standard-precision road section line connected with the standard-precision intersection node and the high-precision boundary lane line, then according to the standard-precision map data, generate target intersection at the intersection point of high-precision boundary lane line.This technical solution can accurately, timely and efficiently generate low-grade road intersection, so as to improve the freshness and completeness of high-precision map data, to assist the automatic driving car to accurately enter or exit corresponding intersection area, improve the user's use experience.

This invention discloses a wave generation control method and apparatus for wave generators deployed at both ends in a wave testing tank. First, the target positions and target angular frequencies of two wave trains are determined based on the target function, which can be wave attenuation, bidirectional wave generation, or focused wave generation. Then, the propagation times of the two wave trains are calculated respectively. Based on the propagation times, the target activation time of the corresponding wave generator is determined. Finally, the corresponding wave generator is activated at the target activation time, generating the corresponding waves based on the target wave height and target angular frequency. In this invention, each end of the wave generators deployed at both ends can independently control wave generation at each end. Based on the synergistic effect of the wave generators deployed at both ends, wave propagation and superposition are controlled, accurately generating focused waves and simulating the effect of concentrated waves on marine structures.

This application provides a method, apparatus, computer-readable medium, and electronic device for generating alarm reports. The method includes: acquiring at least one set of alarm data generated in a business operation and maintenance system, the alarm data including alarm messages for alerting alarms; retrieving relevant knowledge associated with the at least one set of alarm data from a preset knowledge base, the knowledge in the preset knowledge base including information on solutions for alarms; constructing prompt text based on the at least one set of alarm data and relevant knowledge, the prompt text instructing a model to generate an alarm report, and the alarm report should include common features among the sets of alarm data and solutions for alarms; inputting the prompt text into a predetermined language model to obtain an alarm report generated by the predetermined language model based on the prompt text, containing common features among the sets of alarm data and solutions for alarms. The solution of this application can generate alarm reports efficiently and accurately, and can improve business efficiency.

Embodiments of the present application provide a content generation method and device based on an index document, equipment, medium and product. The method comprises: obtaining a structured index document; wherein the structured index document comprises a plurality of index entries, each index entry comprising a label code and semantic element information; the label code comprises the coding values of a plurality of label dimensions, and each coding value of the label dimension is used to indicate the attributes of the source content or the target content in the label dimension; the semantic element information comprises a plurality of semantic elements, and each semantic element is used to indicate the semantic characteristics of the source content or the target content; in response to a user instruction input by a user, generating target content based on a large model according to the structured index document; wherein the user instruction represents the related requirements for the target content to be generated. The method is used to achieve the global cognition of the large model to the system architecture and accurately generate the target content.

This invention discloses a landmark estimation-guided method for predicting orthodontic facial features, comprising: collecting and detecting landmarks in pre- and post-orthodontic facial image pairs to construct a landmark image dataset; training a landmark prediction network using the landmark image dataset; training an image generation network using the landmark coordinates predicted by the landmark prediction network and the pre- and post-orthodontic facial images; and predicting and outputting the corresponding post-orthodontic facial image using the landmark prediction network and the image generation network sequentially for the pre-orthodontic facial image to be predicted. This invention's method can generate more accurate images while preserving the patient's identity characteristics, providing a reference for doctors and patients during treatment.

The present application relates to the technical field of industrial internet data protection, and provides a chemical industry park operation data protection method and system based on industrial internet, which comprises the following steps: receiving task information from an analysis module; generating main task temporary credential information with a limited valid period and data access authority according to the task information and in combination with an access rule library; when the analysis module initiates a data acquisition request, performing credential check judgment on the validity of the main task temporary credential information, the limited valid period and the data access authority, obtaining a check pass judgment result, and allowing the analysis module to acquire corresponding data resources when the check pass judgment result is pass; and when the analysis module completes the analysis work or the limited valid period of the main task temporary credential information expires, invalidating the corresponding main task temporary credential information to achieve operation data protection. The present application has the effect of improving the security of the operation data of the chemical industry park.

This invention provides a method, apparatus, and device for generating AAU (Automatic Active User) piling sources. The method includes: acquiring configuration information related to an AAU to be tested; and converting the format of business data according to the configuration information to obtain the AAU piling source. The method of this application embodiment achieves rapid and accurate generation of AAU piling sources.

Embodiments of the present disclosure relate to a method, device, equipment and product for generating an isolation belt. The method comprises: obtaining road data of a target section; and dividing roads having a front-back connection relationship into the same level based on the road data of the target section, and dividing road sections not having a front-back connection relationship and having different distances from a center line of the target section into different levels, so that adjacent level roads can be quickly and accurately found according to the level division, and then an isolation belt can be generated between the adjacent level roads, that is, the isolation belt can be quickly and accurately generated, and the generation efficiency of the isolation belt is improved. In addition, the method provided by the embodiments of the present disclosure does not need to rely on high-precision data, and can realize the division of road levels and the quick generation of the isolation belt based on low-precision data, so that the problem of high cost caused by high-precision data can be solved.

The application discloses a model training method, an address positioning method, an electronic device, a storage medium and a computer program product, relates to the technical field of large models and image positioning, and the method comprises the following steps: acquiring a training data set, wherein the training data set comprises a training scene image and a visual question and answer data set of corresponding address information of the training scene image; performing cross-view alignment training on an initial multi-modal address positioning model by using the training data set, to generate an intermediate multi-modal address positioning model; and performing address positioning training on the intermediate multi-modal address positioning model by using the training data set, to generate a target multi-modal address positioning model, wherein the target multi-modal address positioning model is used for performing address positioning analysis on a target scene image to be processed and an address question, to obtain an address answer. The application solves the technical problems of the image address positioning scheme provided in the related art, such as coarse positioning granularity, poor positioning accuracy and poor flexibility of question and answer interaction.

The invention relates to the technical field of natural language processing, and discloses an SQL generation method and system based on multi-agent interaction clarification, a terminal and a medium, and the method comprises the steps: obtaining original information of a user, obtaining an intention result of the user according to the original information, if the intention result is intention fuzziness, receiving a first clarification reply of the user, updating the original information according to the first clear reply until the intention result is normal; performing validity verification on the original information to obtain a verification result of the user, if the verification result is data fuzzy, receiving a second clear reply of the user, updating the original information according to the second clear reply until the verification result is valid, and obtaining historical information; generating matching data according to the historical information; and generating an SQL statement according to the historical information and the matching data. According to the method, the table retrieval accuracy and the SQL execution accuracy under the fuzzy query scene are improved.

This invention relates to the field of network security protocol technology, specifically to a method and system for encrypted transmission of network communication information, comprising the following steps: collecting transmission delay and queuing delay and summing them to generate a total delay; normalizing the error to form a delay redundancy mask; adjusting the encryption level and key length based on the judgment interval; constructing a topology mapping based on node processing capabilities and communication distance; allocating tasks and generating a node task table using the HEFT algorithm; generating a control factor using weighted averaging; optimizing the encryption level and task allocation; and improving transmission security and efficiency. In this invention, by collecting delay, extracting errors and normalizing them to generate a mask, dynamically adjusting the encryption level and key length to cope with fluctuations, optimizing task allocation based on node capabilities and communication distance, improving efficiency using the HEFT algorithm, and generating a control factor using weighted averaging to avoid over- or under-encryption, the invention enhances transmission security and efficiency.

The application discloses a multi-expert module cooperative intelligent agent system for automatic generation of a Pcell layout, relates to design verification or optimization of an integrated circuit layout, and comprises three expert modules, a decision module, and the like, wherein the three expert modules are trained based on a constructed sequential decision problem to obtain an expert calling sequence; the decision module is used for problem decomposition on an input problem to obtain problem analysis; a target calling sequence matched with the problem analysis is searched as a target calling sequence, and then the problem analysis is input into an expert module at a first sequence position in the target calling sequence to obtain an output result of the expert module at the first sequence position; the problem analysis and the output result of the expert module at a previous sequence position in the calling sequence are taken as inputs of an expert module at a next sequence position, and finally process information corresponding to the input problem is obtained. The application improves the development efficiency of the Pcell layout, realizes fast migration of an existing process layout to a new process, and significantly shortens the research and development cycle.

This invention discloses a method, apparatus, medium, and device for generating prompt words based on a large language model. Belonging to the field of prompt word generation, this application acquires multi-source runtime data from a development scenario processed according to a model context protocol, performs semantic understanding on this data using a large language model, and selects the optimal prompt word template suitable for the current development intent from a pre-set prompt word template library based on template metadata specifications. Further, according to the semantic mapping relationship established by the model context protocol, parameter values ​​matching the optimal template are selected from the multi-source runtime data, and the accuracy and consistency of the parameter values ​​are ensured through multiple verifications. Finally, the verified target parameter values ​​are filled into the optimal prompt word template to generate a complete prompt word for large model inference. This application effectively solves the problem that existing technologies cannot accurately and efficiently generate prompt words for large language models.

This invention provides a method, apparatus, and rail vehicle for generating virtual track information. The rail vehicle is equipped with multiple position positioning sensors. The method includes: before the rail vehicle starts running, determining target reference routes formed by the rail vehicle during its movement along the center of the virtual track based on each position positioning sensor; when the rail vehicle starts running, collecting real-time position information of the rail vehicle based on each position positioning sensor; determining initial pre-aiming travel trajectory data formed under each position positioning sensor based on the real-time position information and the target reference routes corresponding to the real-time position information; and processing each initial pre-aiming travel trajectory data to obtain target virtual track information. This method enables accurate generation of virtual track information, improving the accurate perception capability of the autonomous driving system.

This invention provides a test case generation method, apparatus, and system, applicable to the financial technology field or other technical fields. The test case generation method includes: receiving a QTP test script and a screenshot file from a client; recognizing image text information and graphic features in the screenshot file; combining the image text information and graphic features to generate image recognition content; and generating test cases based on the image recognition content and the QTP test script. This invention can quickly and accurately generate traceable test cases, improving the reusability of test case assets.

This application provides a tube current modulation method, apparatus, and medium, applicable to the field of imaging equipment technology. The method uses a target image and the segmentation results of the target object within that image. Based on the target image and the segmentation results, it determines the scanning range and scanning center point of a scanning device. Based on the scanning range and center point, it obtains a tube current modulation curve, and then adjusts the scanning current of the scanning device based on this curve. This enables dynamic adjustment of scanning parameters during image guidance, improving the image quality obtained by the scanning device. Furthermore, the target image and the segmentation results of the target object used in this application accurately reflect the cross-sectional structure of the target object. Compared to using a two-dimensional positioning image, it can effectively distinguish the thickness differences of overlapping objects, thereby generating a more accurate tube current modulation curve.

The invention relates to the technical field of biological catalysis and steroid drug synthesis, in particular to a preparation method of cholanol ketone. 4-androstenedione is used as a raw material, 5beta-reductase is firstly added for 5beta-site hydrogenation to generate 5beta-androstane-3, 17-dione, then 3alpha-reductase is added for reaction to generate cholanol ketone, the cholanol ketone is finally obtained through two-step biological enzyme-linked catalytic reaction, the 5beta-site stereoselectivity and the 3alpha-site stereoselectivity are good, the reaction yield can reach 96.87%, the preparation process is simple to operate, and the method is suitable for industrial production. The method is mild in reaction condition, low in production cost and suitable for large-scale industrial production.

The invention provides a multi-channel coherent vector signal generation circuit based on phase synchronization and a control method. A data processing module generates I / Q waveform data of a baseband based on parameters configured by a user and provides control signals for other modules; the clock synchronization module distributes a clock signal and a synchronization signal through a multi-level clock signal and synchronization signal distribution network based on an externally input reference clock signal and a synchronization trigger signal; the digital-to-analog conversion module converts the high-speed digital stream into an analog intermediate frequency or radio frequency signal based on the clock signal; the local oscillator signal generation module sends a radio frequency local oscillator signal to the frequency conversion conditioning module based on a control signal and a clock signal; the frequency conversion conditioning module selects a straight-through path or an up-mixing path according to a target frequency for a differential analog signal input by the digital-to-analog conversion module, and outputs a vector modulation signal after conditioning the signal, so that strict phase synchronization of a sampling clock, a local oscillator signal and an output radio frequency signal in a radio frequency channel is ensured, and subnanosecond-level synchronization of multi-channel vector signals is realized.

Embodiments of the present application provide an influence link generation method, device and storage medium, comprising: in response to a link generation request of test code, obtaining a development branch submission record corresponding to the test code. According to the development branch submission record, a changed function in the test code is determined, and an API interface function corresponding to the changed function is determined, the API interface function being called by other function modules except the function module where the changed function is located. A target function module having a dependency relationship with the API interface function and an entry point function corresponding to the target function module are determined. According to the changed function, the API interface function and the entry point function, an influence link corresponding to the test code is generated. By identifying the API interface function exposed by the changed function, the target function module having the dependency relationship is found, so as to know all external calling points possibly affected by the change, and then the cross-cluster calling condition of the changed function is known, and the influence link can be generated more accurately.