105 results about "Cataloging" patented technology

The invention discloses an intelligent archive description method and device and a storage medium, which are applied to edge nodes, and the method comprises the steps: carrying out the hierarchical feature extraction and fusion of pre-collected archive information through a pre-deployed lightweight dual model, and generating a description item set with a confidence label; uploading the low-confidence bibliographic items in the bibliographic item set to a cloud server; acquiring description correction data transmitted by the cloud server, wherein the description correction data is generated by performing multi-modal comparison analysis on the low-confidence description item based on the cloud server; and integrating the bibliographic items which are not marked as the low-confidence bibliographic items with the bibliographic correction data, and generating a standard bibliographic file according to a standard bibliographic rule. And high-quality generation of the standard description file in a complex scene is realized.

The invention provides a multi-modal ecological environment monitoring element plug-in integration system and method based on unified objectification modeling. Firstly, an object model and an inheritance system of monitoring equipment, data and an algorithm are constructed; on the basis, a unified logic storage and metadata cataloguing mechanism oriented to heterogeneous databases such as relational databases, non-relational databases and file object databases is designed and realized; the plug-and-play and full-life-cycle management of equipment, data and algorithm models is further realized through a dynamic registration module; common APIs (Application Program Interface) such as object-level addition, deletion, modification and query, space-time association query, concurrent task scheduling and aggregation and the like are externally provided by relying on a unified service bus. And the hybrid storage engine cooperatively manages structured and unstructured data and maintains a topological relation between objects. According to the scheme, object dynamic integration and expansion are completed on the premise that operation is not interrupted, the multi-source heterogeneous data management and cross-modal analysis efficiency is remarkably improved, and the method is suitable for various ecological environment monitoring scenes such as natural reserve, drainage basin pollution supervision and disaster emergency response.

The invention discloses a method and a system for solving compilation errors in intelligent contract version evolution. The method comprises the following steps: collecting and cataloguing major changes of all records based on an official Solidity website, screening to obtain major changes causing a compiling problem, and constructing a knowledge base of version migration; combining codes with compiling problems and compiling error information of the codes; slicing the smart contract code by using a static analysis tool, and retrieving a version migration knowledge base by using a retriever based on compiling error information to obtain related version migration knowledge; and guiding the large language model to generate a high-quality patch in combination with a result obtained by the analysis. According to the method, a static analysis tool, structured retrieval of expert knowledge and the generation capacity of a large language model are organically combined, the problem of compiling errors caused by Solidity language evolution is systematically solved, and developers can be effectively assisted in coping with version migration and code repair tasks.

A system and method for detecting and preventing ransomware is provided. The system and method may include the creation / addition of a number of watch files to a filesystem, wherein a location and a timestamp of the watch files may be added to an ingest log. In some embodiments, a number of native files of the filesystem may be cataloged, wherein the location and timestamp of each native file is added to the ingest log. Periodically, the timestamps and / or locations of each entry in the ingest log are compared to current timestamps and / or locations of the corresponding file in the filesystem to determine a count of watch files and / or native files that have changed, which may indicate that a ransomware program is running on the computer. Suspected programs may then subsequently be suspended and reported.

The invention provides an electronic archive processing method and device based on multi-modal data. The method comprises the following steps: acquiring normalized electronic archive data in a current period; performing layout analysis on the electronic archive data, and identifying text information of the electronic archive data; utilizing a natural language processing model to extract entities and corresponding business elements in the text information; matching the entity with an existing entity in a stored electronic archive knowledge graph, and determining a unique entity identifier; based on the semantic features of the electronic archive data, the business elements and the text information, determining semantic relationships among different electronic archives; updating the stored electronic archive knowledge graph by taking the unique entity identifier as a node and the semantic relationship as an edge to obtain a new electronic archive knowledge graph; and based on the business elements and the new electronic archive knowledge graph, classifying the electronic archive data to obtain a classification result and corresponding cataloguing information. According to the method, intelligent extraction, semantic association and automatic cataloguing of the electronic archive elements are realized.

A platform simplifies the process of identifying and cataloging collectibles, specifically collectible cards (e.g., trading cards, sports cards, etc.). The platform can construct a catalog of various cards and use this catalog to identify and classify a card based on an image of the card. The platform includes capabilities to build-out / iterate the catalog when previously unknown cards are provided to the platform. A user's collection of cards can be managed and viewed within the platform. For dealers, the platform will allow the synchronization of inventory across multiple platforms, allowing dealers to list a larger portion of their collection for sale with minimal user involvement. Additionally, the platform includes a buy back button for “breakers” that allows for the participants in a case or pack break to immediately monetize the cards they receive in the break. Related apparatus, systems, techniques, and articles are also described.

The invention discloses a metadata management method and equipment based on a data weaving framework and a medium, and relates to the field of data governance, the method comprises the following steps: collecting metadata of a data source through a preset metadata management tool, and determining a corresponding metadata warehouse according to the metadata; determining a semantic relationship of the data source, determining a knowledge graph according to the semantic relationship, and determining a semantic representation template according to the knowledge graph; performing mining processing on the metadata to determine a recommendation engine, and performing cataloguing according to the metadata to determine a data service catalogue. According to the method, metadata is efficiently collected, the warehouse is determined, and data integration is facilitated; constructing a knowledge graph and a template according to a semantic relationship, and enhancing data semantic understanding; and a recommendation engine and a catalog generation catalog are determined for metadata mining, so that the data utilization efficiency and discoverability are improved, and enterprises are assisted in accurately managing data.

The invention relates to an intelligent data asset management system. The system comprises a data access layer, a data processing layer, an intelligent analysis layer and an application service layer, the intelligent analysis layer comprises an intelligent label recommendation unit, an intelligent cataloguing unit, an intelligent management unit and an intelligent housekeeper unit; the data access layer is used for receiving the multi-modal data assets and performing format standardization conversion to obtain standardized multi-modal data assets; the data processing layer is used for preprocessing the standardized multi-modal data assets and extracting modal features of each modal data; the intelligent housekeeper unit is used for inputting a question of a user into the intelligent question-answering big language model, performing intelligent question-answering according to an intelligent directory and a knowledge graph and outputting answer content; and the application service layer is used for calling the output of the intelligent analysis layer and providing a data asset query service, a quality monitoring service and a decision support service for a user. By adopting the method, a professional, accurate and efficient data asset data analysis report can be output.

The invention provides a space target cataloguing library maintenance method and device fusing post-event multi-source observation data, and belongs to the field of space situation awareness. The method comprises the following steps: acquiring post observation data of an observed space target and preprocessing the post observation data; calculating an observation arc section by using the preprocessed observation data, taking an obtained initial orbit determination result as an orbit feature of the observation arc section, further matching the observation arc section with orbit data of a target in a cataloguing library, and taking the successfully matched observation arc section as an associated arc section of the target; and performing precise orbit determination by fusing a plurality of associated arc segments of the target, and updating and maintaining the cataloguing library by using a precise orbit determination result. According to the method, data preprocessing can be rapidly carried out according to the input multi-source observation data, association matching of the data and the space target is completed, finally, precise orbit determination is carried out by fusing the multi-source observation data, the calculation efficiency and the process completeness are guaranteed, and maintenance of a space target cataloguing library is achieved.

The invention relates to an integrated dynamic cataloguing and trading system based on medical health data capitalization, and belongs to the technical field of medical health data capitalization and trading. The method comprises the following steps: determining an ownership subject and a splitting rule through a medical health data capitalization element definition unit, and constructing a capitalization framework comprising ownership, value and compliance layers; the dynamic cataloguing unit analyzes and marks the multi-source medical health data, generates a dynamic cataloguing list with feature tags, and iterates along with scene and data changes; the asset value linkage transaction unit evaluates the asset value through a multi-dimensional algorithm, generates a pricing interval, and performs profit sharing and transaction track evidence storage based on an intelligent contract; and the compliance verification unit verifies ownership splitting, privacy protection, transaction qualification and profit sharing compliance in a whole process, marks risk points and generates a report. Integrated management of medical and health care data from capitalization conversion and dynamic cataloguing to compliance transaction is realized, and the problems that ownership is fuzzy, cataloguing is static, value is difficult to quantify, transaction is not compliant and the like are solved.

A system for evaluating and managing system performance of one or more customer systems, the system comprising: a repository for storing one or more objects; a gateway communicatively coupled to a customer system, the customer system separated from a wide area network by a firewall, and including one or more computer systems and databases within a customer premises, the gateway comprising a plurality of adapters configured to translate commands and data with system applications within a customer system without deploying agents within the customer system; a plurality of active objects configured to implement a plurality of workflows; one or more processors communicatively coupled to the memory and the gateway, the firewall being disposed between the gateway and the one or more processors, the one or more processors and the gateway being configured to: detect an alert that a monitoring policy related to a monitored event for the customer system has been violated, automatically generate and implement a corrective action workflow, and deploy the corrective action workflow through at least one of the plurality of active objects, wherein the corrective action workflows are assigned metadata via inputs and intelligent toolset to classify and categorize the metadata, and wherein the corrective action workflows are catalogued in a library and converted into model parameters, and wherein the detection of the alert is based on an inference.

The invention discloses a file processing method and system based on AI, RPA and OCR recognition, computer equipment and a storage medium, solves the defects in file material subdivision and standard cataloguing and limitation in application scenes in the prior art, expands the technical scheme to complex service scenes such as courts and hospitals, meets individual requirements of different fields, and improves the user experience. And meanwhile, the problems of disordered management and inaccurate electronic file cataloguing before paper files are archived are solved. The method comprises the following steps: carrying out OCR (Optical Character Recognition) on an electronic picture subjected to image preprocessing, analyzing and recognizing contents of files by utilizing an AI (Artificial Intelligence) engine, extracting key information, classifying, and subdividing file materials according to different types; according to the AI recognition result and a predefined cataloguing rule, the RPA robot automatically generates standard file titles and cataloguing names, file materials are classified into corresponding catalogue levels, and a complete electronic file catalogue tree is formed.

A system for locating, cataloguing, and displaying information-rich graphics is disclosed. The system comprising: computing devices configured with a computer application; and a user interface established in the computing devices. A storage medium, coupled to a processor. The processor enables the system to: receive user inputs from of the computing devices; parse the inputs to identify textual content, media content. The processor is further configured to: fetch content attributes from data sources based on the identified textual content and the media content. Further, the fetched content attributes are analyzed for cataloguing the content attributes into categories. The catalogued content attributes is further classified into dataset based on score. The processor enables the system to: generate information-rich graphics by encoding the classified content attributes into a multimodal embedding; and display the generated information-rich graphics on the user interface established in the computing device using the computer application.

The application provides a view label cataloging implementation and application method, system, device and medium, including the following steps: acquiring view information; performing feature analysis on the view information to obtain and store analysis label information associated with the view; taking time information in the stored analysis label information as a hinge label line, taking any remaining feature label in the analysis label information as another hinge label line, performing cleaning, collision and combination to obtain a label combination array; in response to a search condition, filtering all the label combination arrays, and outputting filtering information to enable a client to call associated view information. AI analysis labeling and manual labeling are combined, the view label is more perfect, and the manual label is not limited to AI capability, and can better meet the personalized needs of users. Applications are different due to scenes, but the labeling process and label storage and retrieval do not change with applications.

The application discloses an electronic medical record and a cataloging and classifying method, system and device thereof. The method comprises the following steps: obtaining standardized data by preprocessing multi-format medical record original data through a medical OCR model, a VAE anomaly detection algorithm, a medical knowledge graph word segmentation tool and a Transformer term standardization model; checking semantic rationality, extracting multi-dimensional features, and obtaining a comprehensive feature vector after strengthening and fusing; constructing a transfer learning classification model and training the model, inputting the feature vector to generate cataloging information; and finally, evaluating the classification result through an active learning mechanism, combining artificial labeling data and a causal forest dynamic updating framework, and incrementally learning and optimizing the model performance. The application solves the problems of low multi-format data extraction accuracy, insufficient term standardization and poor model generalization in the prior art.

The application discloses an archive intelligent cataloging method and device and a storage medium, which are applied to an edge node. The method comprises the following steps: performing hierarchical feature extraction and fusion on pre-collected archive information through a pre-deployed lightweight double model, and generating a cataloging item set with confidence annotation; uploading low-confidence cataloging items in the cataloging item set to a cloud server; acquiring cataloging correction data delivered by the cloud server, wherein the cataloging correction data is generated based on multi-modal comparative analysis of the cloud server on the low-confidence cataloging items; integrating cataloging items which are not marked as low-confidence cataloging items with the cataloging correction data, and generating a standard cataloging file according to a standard cataloging rule. The high-quality generation of the standard cataloging file in a complex scene is realized.

The invention provides a method, a device, electronic equipment and a system for enhancing large model understanding based on an unstructured file. The method comprises the following steps: acquiring an unstructured file, and uploading the unstructured file to a file management platform; extracting basic metadata of the unstructured file by utilizing the file management platform; based on the basic metadata, obtaining corresponding extended metadata, the extended metadata comprising at least one of the following: a data abstract, a data tag, cataloguing information and knowledge tree information; performing format conversion on the basic metadata and the extended metadata, and converting the basic metadata and the extended metadata into a Markdown format; and inputting the converted data into the text generation large model to enhance the understanding ability of the text generation large model for the unstructured file. The risk of misjudgment of the model can be reduced, and the accuracy and reliability of the model generation content are improved.

Embodiments of the present application disclose a file classification method and device based on keyword clustering, and an electronic device. After obtaining a set of files to be classified under an initial classification category and at least one keyword of each file to be classified, the keywords are clustered to obtain a clustering category, and the average similarity between the keywords in the clustering category is calculated. When the average similarity is higher than a similarity threshold, the keywords in the clustering category are fused to obtain fused keywords and a fusion category of the fused keywords. Then, the fusion category is taken as the initial classification category, the fused keywords are taken as the keywords, and the step of clustering the at least one keyword is executed again until the number of keywords is less than a number threshold. A reference classification category structure is obtained, the set of files to be classified is classified into the classification categories in the reference classification category structure, and a target cataloging result is constructed. Therefore, the accuracy of file classification and the cataloging efficiency can be improved.

A system and method for providing a cloud identity verification exchange service which ingests a plurality of identity assertion data from various Identity Providers and / or Service Providers and aggregates the ingested plurality of data into a master global authentication ledger. The system and method comprise: a data ingestion engine configured for acquiring, extracting, and loading data into the system as well as providing hashing capabilities; a metadata manager for collecting, organizing, and cataloguing ingested data based on collected metadata; and database for storing the master global authentication ledger. The master ledger acts as a central repository that consolidates authentication objects from various Identity Providers, allowing for centralized authentication management, auditing, reporting, and analysis. It provides a comprehensive view of authentication activities across multiple systems and enables the tracking of user authentication events across different identity providers.

Methods and systems for providing and recommending geographically linked audio-visual experiences from cultural institutions are specified. Cultural institutions will utilize the item preservation subsystem to digitize items from their collections and related documents. The item preservation subsystem also provides insight regarding operating conditions within the organization. A content-visitor matching subsystem is used to create geographically based audio-visual compilations based on catalogued items. Users may search for compilations provided by cultural institutions within a geographic region. For each search, the content-visitor matching subsystem ranks and recommends nearby compilations from cultural institutions. The content-visitor matching subsystem also provides insight regarding conditions external to the organization that might impact visitor travel. A media matching subsystem enables cultural institutions to supplement their existing media with similar media provided by contributors. The media matching subsystem also enables supplementary media to be created based on text descriptions or existing media.

The present application relates to a kind of audio-visual archives intelligent classification identification and archiving method and system, comprising the following steps: S1: according to the file classification of company audio-visual archives, storage period identification, file title, archiving department and file catalog service rule, constructs service rule system;S2: the original high-definition data of audio-visual archives is obtained and preprocessed, and face recognition library is constructed;S3: audio-visual archives file intelligent classification identification model is constructed;S4: according to the preprocessed audio-visual data and face recognition library, audio-visual archives file intelligent classification identification model is trained, and the optimized audio-visual archives file intelligent classification identification model is obtained;S5: based on the optimized audio-visual archives file intelligent classification identification model, each collection file is intelligently distributed in front of collection link, and based on service rule system verification, auxiliary archivist carries out audio-visual archives file auxiliary classification identification arrangement and cataloging archiving auxiliary work.The present application can accurately classify and catalog audio-visual archives.

The invention discloses an automatic acquisition and intelligent analysis digital archive management system in the tobacco industry, and belongs to the technical field of archive management. The system adopts a micro-service architecture constructed based on a J2EE technical system and a Spring Boot framework, and comprises a data acquisition module, a data storage module, a data arrangement module, a query utilization module, a borrowing management module, an authority management module and a digital processing module. The data acquisition module is in butt joint with a service system through a standard interface and performs four-property detection on the electronic archive; the data storage module adopts a distributed architecture of MySQL master-slave copying and Redis caching, and archive files are encrypted and stored by adopting AES-256; the data arrangement module automatically completes data cleaning, file classification and cataloguing through an intelligent algorithm; the query utilization module supports multiple query modes; and the authority management module realizes fine control based on an RBAC model. According to the invention, full-life-cycle digital management of science and technology archives is realized, the archive management efficiency is greatly improved, the management cost is reduced, and the archive data security is guaranteed.

The invention discloses a cataloguing method and system for constructing a multi-target tracking demand, and relates to the technical field of spatial multi-target tracking demand analysis. The method comprises the steps that a simulation scene of space multi-target observation and operation is created, then observation tasks are created based on the simulation scene, the tasks cover various types of track measurement, optical imaging and the like, different observation tasks correspond to different observation devices, and requirement constraint items of the observation devices can be set; and finally, selecting observation equipment according to the observation task, performing automatic resource scheduling, including demand merging, visibility calculation, conflict resolution, segmental arc optimization and the like, on the observation equipment according to observation demands, and performing cataloguing to form an observation task observation plan. According to the method, the problems of low accuracy and poor stability of an existing multi-target tracking cataloguing method in a complex scene are solved, the performance and reliability of multi-target tracking are improved, and various observation devices can be effectively guided to execute observation tracking tasks.

A data platform for providing large scale data discovery with near real time data cataloguing and detailed lineage. Data is received from one or more sources, and the received data is written to a data storage systems. The received data is processed at the data storage systems using sensors at the data storage systems. Metadata and data definitions associated with the data are sent to a data service in near real-time. A data catalog is generated at the data service based on the metadata and data definitions associated with the data. Data lineage for the data is created at the data service. The data catalog and data lineage are presented at a data discovery interface.

The invention relates to the technical field of book management and natural language processing, in particular to a book cataloguing data automatic generation method based on deep learning, which comprises the following steps: (1) collecting and cleaning original information of books, (2) carrying out word segmentation processing on a cleaned text, (3) constructing a deep learning model based on Transformer, and (4) carrying out automatic generation on book cataloguing data according to the deep learning model. Step (4), performing preprocessing of the step (1) to the step (2) on the to-be-cataloged book; and step (5), performing post-processing on a prediction result. According to the book cataloguing data automatic generation method based on deep learning, the mapping relation between the book original information and the cataloguing rule is learned by constructing the deep learning model, automatic generation of cataloguing data such as classification numbers and subject terms is achieved, and cataloguing efficiency and data quality are improved. And efficient and accurate technical support is provided for automatic management of the library.

The invention relates to the field of artificial intelligence and pattern recognition, and discloses an archive category automatic judgment and description template matching method based on pattern recognition. The method comprises the following steps: acquiring original data and metadata of an archive; performing structured analysis and semantic feature extraction to generate a multi-dimensional feature vector; the archive category is judged through the ensemble classification model; searching a description template with the highest matching degree in the dynamic template library, and automatically generating and registering a new template if there is no high matching template; and finally, automatic recording is completed. Through a dynamic template mechanism and online incremental learning, full-automatic, self-adaptive and sustainable evolution of archive description is realized, and description efficiency, consistency and system robustness are improved.

The present application relates to the technical field of unmanned aerial vehicle cataloging, and particularly relates to a cataloging method for unmanned aerial vehicle swarms based on local trajectory curvature, comprising the following steps: S1: collecting image sequences of the unmanned aerial vehicle swarms to generate a set of unmanned aerial vehicle positions; S2: in the initial frame, assigning a unique number to each target; S3: based on a multi-frame target association method, forming a preliminary cataloging and a preliminary target trajectory; S4: using a trajectory curvature discrimination algorithm to determine the correct attribution of the interlaced trajectory segments, correcting the erroneous association in the preliminary target trajectory, and obtaining a corrected target cataloging; S5: for all targets with interlaced trajectories, repeating step S4 until the final cataloging of all targets in all frames of images is completed. The present application has the advantage that the trajectory curvature discrimination algorithm is reasonably applied to multi-target cataloging, which can well classify and catalog the positions of each target and accurately handle the interlaced situation of two target trajectories, effectively solving the difficult problems in multi-target cataloging.

The invention belongs to the technical field of optical measurement, and particularly relates to a multi-target data association cataloguing method. According to the method, in combination with association characteristics of a Deep Sort algorithm and time sequence multi-target data, target appearance characteristics are extracted in a real-time target tracking process by introducing a CNN model to perform nearest neighbor matching, track smoothness verification and confirmation are performed, the target tracking problem and the problem of frequent jump of a target number ID under a shielding condition are solved, and the target tracking efficiency is improved. And the serial number stability during multi-target tracking is ensured. After a multi-target two-dimensional track in a single measuring station is obtained, intersection calculation can be carried out on the two-dimensional tracks of two or more measuring stations to obtain a three-dimensional space track.

The invention relates to the technical field of geological logging, and discloses a geological logging system and method based on the SLAM technology and a program product. Uniform and stable illumination conditions can be provided for an adit to be recorded through a light source module, meanwhile, mobile scanning is carried out through an SLAM module, traditional single-station measurement is replaced, and the working efficiency is improved. And efficient collection of adit three-dimensional data is realized in combination with an SLAM technology. Furthermore, control point coordinates are obtained based on an SLAM image measurement technology. Furthermore, the original three-dimensional point cloud data set is processed through a point cloud processing module, so that the quality of the target three-dimensional color point cloud data set is improved. And finally, efficient and accurate geological recording is realized in a data analysis and calculation module through a target three-dimensional color point cloud data set and a preset geological attribute information set, and the problems of low efficiency, poor precision, weak environmental adaptability and dependence on manpower in traditional adit geological recording are solved.

The invention discloses a judicial data catalogue updating method and system based on information extraction model training. The judicial data catalogue updating method comprises the steps of obtaining a legal text; performing information extraction on the legal text by adopting a pre-trained information extraction model to obtain contents corresponding to metadata of the data catalogue; updating the data catalog based on the content corresponding to the metadata; wherein the information extraction model is obtained by training historical data of the legal text on the basis of a graph structure. According to the method, a graph structure mode is adopted, so that the method check business data from multiple data sources can be conveniently defined; based on the information extraction model obtained by training the defined business data, rapid retrieval and accurate information extraction can be carried out on massive legal texts, and the accuracy and updating efficiency of data cataloguing are improved.