164 results about "Result list" patented technology

Disclosed in the present invention is a knowledge graph-based unified fault search method for a specialized vehicle device. The method comprises: acquiring device maintenance related data, and taking a device as a core to establish association relationships between the device maintenance related data; acquiring a fault report, and parsing the fault report to obtain parsing result data; constructing a device fault graph on the basis of the device maintenance related data and the parsing result data; integrating the device fault graph into a knowledge graph platform; receiving a search term entered by a current user in a search box, acquiring search results corresponding to the search term, and displaying the search results on a search result page, wherein the search results comprise a result list, data classification statistics, search result sorting, a knowledge cloud picture, and associated recommendations; and providing in the search result page an operation entry for knowledge exploration, and viewing related knowledge exploration of the current knowledge by the user by triggering the operation entry for knowledge exploration. The method solves the problem in the prior art that the search results are not accurate enough.

The invention provides a search task processing method, electronic equipment and a storage medium, and relates to the technical field of task processing, the method concurrently executes a core sub-task and all edge sub-tasks based on a thread pool technology, when a return result of the core sub-task is received, a time point at the moment is recorded as a key update time point, and the key update time point is updated; and copying the initial return result list at the moment as a first return result list, when the first return result is NULL, indicating that the edge sub-task corresponding to the first return result is not completed, obtaining candidate waiting duration corresponding to the identifier of the uncompleted sub-task, and taking the maximum candidate waiting duration as target waiting duration, and when the time point obtained by adding the key update time point and the target waiting duration arrives, all the initial return results in the initial return result list at the moment are integrated to obtain the final return result corresponding to the search task, so that the overall search time is shortened, and the overall search efficiency is improved.

The invention discloses a project management system based on a SpringBoot micro-service architecture. The project management system comprises an application layer, a support layer and a basic platform, the application layer comprises a user portal function module, and the user portal function module comprises a user login module used for providing a login interface; the achievement consulting module is used for supporting a user to retrieve project achievements in the system through keywords, displaying a related achievement list and providing excellent achievement displaying and downloading functions; the project filling and reporting module is used for supporting a user to fill basic information of a project or upload an attachment to form a project manuscript on line based on a template; the project review module is used for supporting initial review, expert review, summarized review, file uploading and batch export of project manuscripts; the support layer is used for providing a project filling and project review circulation process and a data management function, and the basic platform is used for providing an operation environment and hardware support. According to the invention, a project management solution which is easy to operate and efficient and stable to operate can be provided for a user.

The invention discloses an RAG question and answer optimization method and system based on fusion retrieval, and relates to the technical field of large model knowledge question and answer. The method comprises the steps of obtaining user query, executing keyword retrieval and semantic vector retrieval in parallel, and obtaining a keyword retrieval result list and a semantic vector retrieval result list respectively; and calculating the quality score of each text unit in each retrieval result list based on multi-dimensional quality evaluation, and filtering out the text units with the quality scores lower than a preset quality threshold value. And sorting the text units in all the filtered retrieval result lists by adopting a quality weighted reciprocal sorting fusion algorithm. And based on the length of each text unit and the document format to which the text unit belongs, performing context content enhancement and combination on each text unit after sorting, and generating an enhanced context block list. And constructing structured prompt information based on the enhanced context block list and user query, inputting structured prompt words into the large language model, and generating and outputting a final answer.

The invention discloses a remote order confirmation method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a remote order of a target user for a target vehicle; determining a plurality of to-be-diagnosed items of the target vehicle based on the remote order; determining a priority corresponding to each to-be-diagnosed item in the plurality of to-be-diagnosed items to obtain a plurality of priorities; determining a target priority order based on the plurality of priorities; obtaining a diagnosis step set corresponding to each to-be-diagnosed item in the plurality of to-be-diagnosed items to obtain a plurality of diagnosis step sets; based on the target priority sequence and the multiple diagnosis step sets, performing diagnosis operation on each to-be-diagnosed item to obtain multiple diagnosis results; determining a target diagnosis result list based on the plurality of to-be-diagnosed items, the plurality of diagnosis step sets and the plurality of diagnosis results; and sending confirmation information to the target user based on the target diagnosis result list. According to the embodiment of the invention, it is ensured that the user can obtain the detailed completion condition of each item in the remote order.

The invention relates to the technical field of document processing, and provides a document analysis method, electronic equipment and a storage medium. The method comprises the following steps: firstly, carrying out layout analysis on each page of document in the PDF document to obtain each block of each page of document and the category of each block; secondly, for the blocks of which the categories are texts, performing text extraction on the blocks to obtain text contents, and performing paragraph connection on the text contents to obtain an analysis result; secondly, for a block of which the category is an image or a table, analyzing the block to obtain an analysis result; and finally, according to the analysis result of each block in each page of document, obtaining an analysis result list of each page of document. According to the method and the device, the category of each block is determined by performing layout analysis on the PDF document, and the block content is extracted by adopting a corresponding analysis mode according to the category of the block. Therefore, targeted analysis on different blocks in the PDF document is realized, and the accuracy of document analysis is improved.

The invention provides an application detection system and method, electronic equipment and a computer program product. The application detection system comprises a task management module, a service background module and a detection module, wherein the task management module is used for performing task management on a to-be-detected application to obtain a detection task of the to-be-detected application; the business background module is used for performing business process arrangement on the detection task by calling a workflow engine to obtain a detection starting request of the detection task; and receiving a detection result list of the to-be-detected application, and performing detection result management on the detection result list to obtain a detection result, the detection module is used for responding to the detection starting request, and performing detection operation on each security detection item of the detection task through a plurality of detection configuration units to obtain a detection result list. Through the application, the to-be-detected application can be effectively detected, and the accuracy of the detection result is improved.

The invention discloses an OCR (Optical Character Recognition) optimization method based on multi-label classification and active learning, and relates to the technical field of image recognizing.The method comprises the steps that an original image-text image is obtained and preprocessed, problem type classification is performed on problems existing in the preprocessed image based on a multi-label classification model, corresponding image problem types are obtained, and meanwhile, priorities are generated; performing targeted enhancement on the image according to the priority of the image problem classification result, repairing various problems existing in the image, and identifying the repaired image to obtain a structured character identification result list; and verifying an identification result, screening out difficult sample data, entering an active learning link according to the number of the sample data, and optimizing a multi-label classification model at the same time, thereby realizing dynamic cooperation of image quality improvement and OCR performance optimization. The problem that the accuracy of OCR recognition is reduced due to the multi-source quality degradation problem of the image in the prior art is effectively solved.

The invention relates to the technical field of data integrity verification, in particular to a drug compliance detection method and system for drug supervision, and the method comprises the following steps: extracting a process change data field, eliminating a deviation value and setting a reference, marking and classifying a current batch difference field, recognizing a deviation expansion item, constructing a field mapping path and recognizing an interruption point. And judging whether the interrupt field is missing or not, and generating various result lists. According to the method, through medicine process parameter extraction and abnormal value elimination, a stable reference standard is constructed, representativeness of a comparison standard is guaranteed, classification is performed based on field differences, parameter offset is identified, difference identification precision is improved, continuous offset fields are judged in combination with trend changes, risk early warning timeliness is enhanced, and data inheritance continuity is expressed; according to the method, breakpoint fields are filled and verified, missing information is accurately captured, a closed-loop process of offset identification, trend research and judgment, path tracing and missing verification is integrally formed, and the integrity and sensitivity of data compliance inspection are improved.

The invention discloses a resource recommendation method and device based on a multi-cloud environment, equipment and a storage medium, relates to the technical field of resource management, and discloses a resource recommendation method based on the multi-cloud environment, and the method comprises the steps: obtaining resource information of a resource demand and a resource instance, and carrying out the feature extraction according to the resource information, and obtaining a resource feature vector; generating a target demand vector according to the resource demand and the resource feature vector; performing vector similarity retrieval according to the target demand vector to obtain a target candidate resource set; performing score calculation according to candidate resources in the target candidate resource set to obtain candidate resource scores; and sorting the candidate resources according to the candidate resource scores to generate a recommendation result list. The technical effects of accurately matching the user demand and the resource instance in the multi-cloud environment, efficiently recommending the resource meeting the user demand, and improving the resource utilization efficiency and the user experience are achieved.

The invention discloses a steel surface defect detection method and system, and belongs to the technical field of machine vision and industrial detection. Comprising the steps that steel surface image data are received and input into a pre-trained YOLOV9s-Bi FPN-DW-C3 model to detect the steel surface defects, the model comprises a backbone network layer, a neck network layer and a detection head layer, and the step of detecting the steel surface defects comprises the substeps that the steel surface image data are input into the backbone network layer for multi-scale feature extraction, generating a feature map set containing different levels of semantic information; inputting the feature map set into a neck network layer, executing up-sampling matching, normalization preprocessing, weighted fusion and multi-path integration operation of a cross-scale feature map, and outputting an optimized fusion feature map; inputting the fusion feature map into a detection head layer, traversing the fusion feature map based on a preset anchor frame, and predicting the defect category probability and bounding box offset of each anchor frame; and generating a defect detection result list according to the defect category probability and the bounding box offset.

The invention discloses a visual language large model perception enhancement method and system based on visual prompt, and relates to the field of visual language large models. The problem that how to deploy a small-scale large-language model under the condition that resources are limited in the prior art becomes an urgent problem to be solved is solved. The method comprises the following steps of: segmenting an original image by adopting a segmentation component to generate a mask and an object segmentation list; respectively processing an original image and an image mask generated by a semantic segmentation device by using a visual encoder, so as to extract multi-level visual features which highlight the position and boundary of an object; layer normalization and MLP layer processing are carried out to form visual features; taking the generated mask and the segmentation result list of the object as a text instruction, and inputting the extracted multi-level visual features which highlight the position and the boundary of the object and the visual features into a visual language large model to perform autoregressive semantic generation; the method is also suitable for the technical field of improving the object perception and question-answering ability of the visual language large model without adding extra training parameters.

The invention relates to the technical field of artificial intelligence, and discloses an information auditing method and device, equipment and a medium, and the method comprises the steps: obtaining inquiry sheet information of a user, and carrying out the entity recognition of the inquiry sheet information through a natural language model, and obtaining an information field set; verifying the information field combination through a preset attribution rule and a preset logic verification condition to obtain a field compliance verification result; wherein the preset attribution rule is a preset rule based on business difference; the preset logic verification condition is a condition preset based on a field consistency relationship; if the field compliance verification result is that verification fails, performing inference analysis on the information field combination through a large model, and generating corrected inquiry sheet information; and analyzing the corrected inquiry sheet information through a risk assessment model to generate an audit result list. The information auditing method and device can be applied to a financial science and technology business program system, and the information auditing efficiency and accuracy can be improved.

As an example, a system includes a hierarchical tag database that includes a plurality of tags arranged according to a hierarchical data schema for a number of tag hierarchies, and tags within each level of a respective tag hierarchy have a different specificity relative to each other level of the respective tag hierarchy. The data can also include profile tag data for a given user. The system can also include a processor configured to access the media and execute the instructions to expand each of the stored profile tags for the given user to provide an expanded profile tag data set for the given user, in which the expanded profile tag data set includes each of the assigned profile tags and each one or more higher-level tag in each associated tag hierarchy to which each of the assigned profile tags belongs. The instructions can also be programmed to determine which tags in the expanded profile tag data set match corresponding item tags representative of available actions, services, products and / or activities. The instructions can also be programmed to generate a results list representative of a matching set of the actions, services, products and / or activities based on the determination. At least a portion of the results list can be presented in a user-perceptible format.

The invention discloses a distributed operation-oriented multi-agent collaborative recommendation method and system, and relates to the technical field of intelligent recommendation, and the method comprises the steps: configuring a private domain operation agent in each independent private domain platform, deploying a big language model-based construction demand analysis agent at a user side to receive a natural language demand description input by a user, and constructing a multi-agent collaborative recommendation system; generating recommendation task instructions of different private domain platforms; the method comprises the following steps: receiving user preference description and recommendation object description, sending the description to a corresponding private domain operation agent, calling a recommendation model to generate a recommendation result list based on the received user preference description and recommendation object description, collecting recommendation result lists returned by all private domain operation agents by a demand analysis agent, and integrating and classifying the recommendation result lists to generate a comprehensive recommendation list. According to the method, an efficient, safe and extensible distributed recommendation architecture is constructed by introducing a user demand analysis agent, a private domain operation agent and a federal learning mechanism.

1. Name of the Design Product: Graphic User Interface for Patent Database Retrieval of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lie in the interface content of the graphic user interface. 4. Picture or Photo that Best Illustrates the Design Key Points: Front View. 5. Use of the Graphic User Interface: This graphic user interface of the design is used for patent database retrieval. The front view is the display page of the patent database agent. The retrieval area is on the left side of the interface, and the result list is displayed on the right side of the interface. When the user enters the content to be retrieved in the upper left corner of the interface and clicks "AI Retrieval", the specific retrieved information will be displayed in the lower left corner of the interface. When the user clicks "View List" below, the corresponding result list will be displayed on the right side of the interface. 6. Other Situations Requiring Explanation: Other Explanation: "××" in the interface represents variable text, and a single gray color block represents the content screen.

1. Name of the Design Product: Graphical User Interface for Displaying Detailed Query Information of an Electronic Device. 2. Use of the Design Product: An electronic device. 3. Design Key Points of the Design Product: The part of the graphical user interface in the electronic device for which protection is requested. 4. Picture or Photograph Most Indicating the Design Key Points: The front view of Design 1. 5. The electronic devices of Design 1 - Design 10 are of common designs, and other views are omitted. 6. Design 1 is designated as the basic design. 7. Use of the Graphical User Interface: The product interfaces of Design 1 - Design 10 are interactive interfaces for displaying detailed query information of the Zone in the MISC Table; the upper part of the interface is the query condition, and the lower part is the query result list. Clicking on the icons in the interface can perform corresponding operations.

As shown in Reference Image Figure 2, search conditions for search items (12) are set in the search condition setting window (10), search conditions for additional search items (15), search for processing performed on wafers or the like in the past, and a search result summary (3) and search result list chart (4) are displayed in area (2) (for example, a time series graphic display or a time axis trend plot display). The desired processing is selected from the search result list chart (4), and the data for the selected processing is displayed in area (5). Area (5) shows, for example, a wafer map (9) that displays data for each part on the wafer in different colors.

1. Name of the Design Product: Graphical User Interface Displayed on the Data Detail Query Page of an Electronic Device. 2. Use of the Design Product: An electronic device. 3. Design Key Points of the Design Product: Lies in the part of the graphical user interface in the electronic device that is claimed for protection. 4. Picture or Photo Most Indicating the Design Key Points: The front view of Design 1. 5. The electronic devices of Design 1 - Design 2 are of common design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. Other Circumstances Requiring Explanation: Other Explanation: The product interface of Design 1 is the interactive interface displayed on the HEM Filing query page in HEM; the upper part of the interface is the query conditions, and the lower part is the query result list. Clicking on the query condition bar or icon in the interface can perform corresponding operations; the product interface of Design 2 is the interactive interface displayed on the HEM Report query page in HEM; clicking on the query condition bar or icon in the interface can perform corresponding operations.

The invention discloses an open source platform task matching method based on a developer behavior map and double-layer filtering, and the method comprises the following steps: S1, dividing the behavior characteristics of a developer into three dimensions, and obtaining a developer behavior characteristic data set; s2, identifying and screening developers which do not meet the basic requirements; s3, constructing a lightweight knowledge graph Gdevtask comprising developer nodes, task nodes and associated edges of the developer nodes, the task nodes and the associated edges of the developer nodes and the task nodes in a manner of combining a relational database with graph storage; s4, task demand texts Textreq of the historical open source tasks and the open source tasks to be matched are obtained, demand disassembly is carried out on the open source tasks to be matched to obtain a plurality of sub-tasks, and corresponding vectorization expressions are generated; s5, adopting a double-layer filtering strategy to construct a primary matching layer, and screening to obtain a primary candidate developer set; and constructing a fine screening scoring layer to obtain a recommendation result list.

The invention provides an old city bungalow area resident translation and moving decision-making method based on multiple agents. The method comprises the steps of collecting plot information of an old city bungalow area and constructing a data set, establishing a resident agent and a developer agent and setting behavior rules and action spaces of the resident agent and the developer agent, setting a learning method of the developer agent as multi-target hierarchical reinforcement learning, setting multi-target hierarchical rules respectively, and performing multi-target hierarchical reinforcement learning. And setting a reward mechanism of reinforcement learning, running all agents and performing data simulation, dynamically adjusting a relocation strategy in the simulation process until a convergence condition is met, outputting data and forming a result list. Compared with the application of the prior art, the multi-agent-based translation and moving decision-making method for residents in the one-storey area of the old city innovatively introduces the agents into a new scene of stock development, helps developers to make a more scientific moving decision, and can obtain a win-win balance result of the developers and the residents.

The invention discloses a commodity recommendation method and device, equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: receiving to-be-processed image data in response to an image input instruction; preprocessing the to-be-processed image data to obtain a processed image; inputting the processed image into a target detection model for target detection to obtain a commodity image, and performing visual feature extraction on the commodity image through a feature extraction model to obtain an image feature vector; based on the image feature vector, performing retrieval in a preset commodity feature library, and determining a main search result list; according to a preset commodity recommendation mode, determining a target commodity based on the main search result list and displaying the target commodity; the commodity recommendation mode comprises a hot commodity recommendation mode and a similar commodity recommendation mode. According to the method, the target commodity can be screened and displayed in a targeted manner, the retrieval efficiency of the commodity is greatly improved, and the commodity recommendation accuracy is further improved.

A system and method for performing parallel local and remote searches, in particular to searching a local cache and remote database in parallel while accepting a search input, to obtain additional data for the local cache. The method includes, responsive to detecting a first portion of a search input, searching a local cache using the first portion to populate a search results list and initiating a remote search using the first portion; and responsive to receiving remote search results from the remote search, updating the search results list based on the remote search results and updating the local cache with data associated with items in the remote search results.

The invention discloses a method for automatically generating a maritime combat killing net based on reinforcement learning, which relates to the field of killing nets and comprises the following steps: acquiring demand data of a plurality of combat tasks and resource data of a plurality of combat platforms; generating a legal action set based on the current system state and the hard constraint condition; scoring the actions in the legal action set by using a pre-trained reinforcement learning model, and selecting the action with the highest score as a killing network resource allocation decision; executing a killing network resource allocation decision, and updating a battlefield state; and in the evaluation stage of the reinforcement learning model, if it is detected that the model weight is unavailable, automatically switching to a greedy rollback strategy based on instant income to make a decision, and outputting a distribution result list consistent with the model decision format. According to the method, the dynamic legal action set is constructed, the decomposition type reward is designed, and the greedy rollback mechanism is introduced, so that stable training and reasoning can be realized in a large-scale and strong-constraint scene, and the efficiency and reliability of planning of the killing net are remarkably improved.

The invention provides a vehicle-mounted machine media file reading method and device, electronic equipment and a storage medium, and the method comprises the steps: monitoring an external storage mounting state of a vehicle-mounted machine, if the external storage mounting state is mounted, obtaining a root directory path of a mounted external storage, carrying out the filtering scanning of the external storage based on the root directory path, and reading a media file of the vehicle-mounted machine. The filtering scanning result list comprises a plurality of media files, the file format of the media files is a preset format, the file size of the media files is larger than a preset memory threshold value, and the media files are in a hidden state and are not hidden, and media information extraction is conducted on an external memory according to the filtering scanning result list. And the extracted media information is used for displaying on a vehicle machine screen and writing into a local database. Through the method, the technical problem that the vehicle machine media file is relatively slow to read is solved.

The invention relates to the field of engineering structure calculation and generation, and discloses an SAP2000-based calculation book screenshot and generation method and system, and the method comprises the steps: selecting a needed model file at a client, opening the model file through SAP2000 software, and obtaining and displaying the related data information of the model file; a screenshot parameter is configured at the client, and a screenshot task is initiated to the Python local service based on the screenshot parameter; the Python local service adopts a task execution engine based on a Python decorator to realize automatic screenshot, and a screenshot result list is generated; and the Python local service initiates a screenshot backfilling request to the Java remote service, and the Java remote service realizes dynamic backfilling of the Excel template based on the Apache POI and the EasyExcel, so that the required calculation book is automatically generated. The method has the advantages that the generation efficiency of the calculation book can be remarkably improved, and meanwhile, the accuracy of the generated calculation book is ensured.

The invention provides a multi-thread risk detection method and device and electronic equipment. The method comprises the steps that key symbols indicating shared resources are extracted from risk code blocks of a to-be-detected source code file; aiming at each key symbol, searching an associated code block referencing the key symbol in the global source code, screening a write-in code block which performs write-in operation on the shared resource through the key symbol in the associated code block, and identifying whether the write-in code block uses a lock mechanism or not to provide protection for the write-in operation; determining potential risk points for target code blocks which are identified in the write code blocks and do not use the lock mechanism to protect the write operation; generating an associated file result list based on the risk information of the potential risk point of each key symbol, the file path of the to-be-detected source code file and the risk code block; and analyzing the associated file result list based on the risk large model to obtain an analysis report. According to the method, symbol association and intelligent large model analysis are combined, and efficient and accurate multi-thread risk detection is achieved.

There are discloses methods and systems for generating a search engine results page (SERP). The method is executable at a server executing a search engine, the server being accessible via a communication network by at least one electronic device. The method comprises, as part of generating a search result list, the search result list containing a first search result and a second search result, predicting a first interest parameter for the first search result; predicting a second interest parameter for the second search result; predicting a usefulness parameter for the first search result, the predicting being at least partially based on the first interest parameter and the second interest parameter; adjusting a position of the first search result within the ranked search result list based on the predicted usefulness parameter, the adjusting resulting in the first search result being at an adjusted position within the ranked search result list.

An information processing apparatus, an information processing method, and an information processing system. The information processing apparatus is provided with one or more memories that store state information indicating a predetermined state of an object, identification information for an image or video that represents a mode of the predetermined state, and document information including a description describing the mode represented by the image or video, and circuitry that receives from the communication terminal, a search input, transmits to the communication terminal, first screen information of a search result list screen indicating an image or video identified by the identification information of the image or video stored with the state information specified based on the input, receives from the communication terminal, information for specifying an image or video selected by a user, generates description information including a description in the document information stored in association with identification information for the image or video, and transmits the description information to the communication terminal.

The invention provides an intelligent question answering method and device, equipment, a storage medium and a program product, and relates to the field of financial science and technology. The method comprises the following steps: performing retrieval in a preset bank field document library to obtain a retrieval result list corresponding to each query in a question set generated based on user input; wherein the retrieval result list comprises a plurality of documents sorted according to similarity; according to document sorting and similarity information of each retrieval result list, dynamically optimizing fusion parameters of a fusion sorting algorithm; fusing and reordering documents in each retrieval result list based on a fusion ordering algorithm by adopting the dynamically optimized fusion parameters to obtain a reordered target retrieval result list; and generating a target answer corresponding to the user input based on the target retrieval result list. According to the method, the intelligent question and answer effect can be improved.