67 results about "Case files" patented technology

The invention relates to the technical field of process automation and artificial intelligence technologies, in particular to a multi-modal-based agent collaborative auditing method and system, and the method comprises the following steps: obtaining file information,..., carrying out the similarity analysis of a feature vector set and a decision vector set, obtaining a weight set corresponding to the historical file with the highest similarity from a database; setting the weight set as an initial weight set or a final weight set based on a similarity result; performing decision conflict analysis based on the decision vector set, and optimizing the initial weight set based on an analysis result to obtain a final weight set; and performing weighted fusion based on the final weight set and the decision vector set to obtain a fusion decision, and the method has the advantages of effectively solving decision conflicts in a multi-modal data fusion process, accurately positioning a problem root and improving man-machine cooperation efficiency.

Embodiments of the invention disclose an automatic driving scene retrieval method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining scene case files corresponding to a plurality of scene test cases; for each scene test case, performing analysis and key element extraction processing on the scene case file to obtain static scene content and dynamic scene content corresponding to each scene test case; constructing a scene shelf list based on the scene identification information, the static scene content and the dynamic scene content of each scene test case; in response to the scene retrieval request, the target scene test case is retrieved from the scene shelf list based on the target retrieval condition carried in the scene retrieval request, so that comprehensive coverage of scene elements is realized, and a composite scene containing complex interaction is accurately positioned; and a more complete and more accurate scene retrieval capability is provided for the test of the automatic driving system.

The disclosed system provides a multi-functional legal services space in Virtual Reality (VR) that includes a law office, courtroom, conference room, and law library. The VR program enables privileged and confidential attorney-client communications, visitation between attorneys and clients, and provides clients with tools and access to work on their legal matters. The program facilitates the electronic signing of legal documents, secure legal document case file storage, legal research, document drafting, and hearing and trial preparation. Meetings and depositions can be conducted with multiple parties through VR headset access and / or video conferencing participation. The VR courtroom can be utilized by judges, magistrates, and mediators for legal proceedings. For incarcerated individuals, a VR headset combines identity verification technology with secure internet connectivity, allowing access to a database containing their personal legal information.

The invention discloses a verification method and device for accelerating function coverage rate convergence, a medium and equipment, the method is applied to a verification platform, the verification platform comprises a directional excitation generator, a function coverage rate model and a to-be-tested design, and the verification platform is provided with a simulation switch. Comprising the following steps: analyzing a code file of a function coverage rate model by utilizing a preset cross use case script file to extract coverage bin information corresponding to a cross function coverage point, and configuring a simulation switch according to the coverage bin information to generate a boundary use case file; and reading switch configuration information in the boundary case file by using a directional excitation generator, generating a directional excitation flow based on the directional instruction sequence according to the switch configuration information, and sending the directional excitation flow to the design to be tested to execute verification work. By adopting the technical scheme of the invention, the boundary use case of the cross function coverage point can be automatically generated, so that the convergence time consumption of the function coverage rate is effectively reduced, and the convergence rate of the function coverage rate is improved.

The invention provides an OFD archive file retrieval method and system, and the method comprises the steps: receiving file data, and carrying out the authentication verification of the file data; splitting the file into file units and storing the file units into a message queue for asynchronous processing in sequence; extracting text information, table information and picture information in the OFD file to generate comprehensive text information; preprocessing the comprehensive text information, and recording the occurrence frequency of each segmented word and the corresponding page number; creating an index in a search engine cluster, wherein an index field comprises a file ID (Identity), word segmentation content, occurrence frequency and a page number; searching according to an input keyword, and arranging results in a descending order according to the occurrence frequency of word segmentation; and marking the page number of the keyword for retrieval and positioning. The method has the beneficial effects that rapid analysis and preprocessing of large-scale OFD data are realized through asynchronous processing of the message queue and an OCR (Optical Character Recognition) technology; redundancy is reduced through coarse-grained word segmentation during indexing, and recall is enhanced through fine-grained word segmentation during retrieval; the keyword granularity input by the user is adapted, and the retrieval scene adaptability is improved.

The invention provides a case file named entity recognition method and system based on semantic analysis, and the method comprises the following steps: obtaining original text data of a judicial case electronic file, carrying out the data preprocessing and word level division of the original text data, and obtaining a lexical element sequence; processing the lexical element sequence by adopting a sliding window mechanism, extracting syntactic phrases and fragment feature information, and fusing to generate a candidate fragment feature set; entity types are defined, similarity calculation is carried out on the entity types and the candidate segment feature vectors, the entity type with the highest similarity score is obtained and associated with the candidate segments, and a flat entity set is generated; constructing a predefined structured template, and matching entities into slots of the predefined structured template by adopting a pre-trained classification model to obtain an initial structured instance set; according to the method, the key entities in the file can be efficiently identified, the structural relationship and event information between the entities can be automatically constructed, and the comprehensiveness, accuracy and processing efficiency of case semantic extraction are improved.

The invention provides a method and device for generating an electronic file of a non-performing asset, equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining different case data for a non-performing asset case uploaded by a user; extracting multi-dimensional metadata of a non-performing asset case from different case data, and identifying a plurality of associated entities of non-performing assets and an association relationship between different associated entities; constructing a knowledge graph of the unhealthy asset case on the basis of the association entities and the association relationships; determining a graph relation network associated with the associated entity from a configured historical unhealthy asset case library; performing cross check on the knowledge graph, the graph relation network and the multi-dimensional metadata; and if the knowledge graph, the graph relation network and the multi-dimensional metadata pass the cross check, generating an electronic file of the non-performing asset case based on the multi-dimensional metadata and different case data. According to the invention, full-process intelligent management of the unhealthy asset case is realized.

The invention provides a tobacco file examination method and system based on a visual-language large model, and the method integrates multi-modal feature extraction, cross-file content association, a rule introduction mechanism based on the large model, and an evidence traceability mechanism based on the large model. The method comprises the following steps of: performing unified analysis, element extraction, signature normative detection and regular compliance examination on electronic files and paper scanning images including catalogs, attachments, photos and the like for case file materials of cases which have many cases in the tobacco industry and are not purchased in a specified tobacco enterprise; and outputting the results of whether the file archive is complete, whether the signature is correct, conclusion and evidence positioning and the like. In combination with a Prompt dynamic instruction and a rule knowledge base, flexible introduction of specifications and standards during case auditing in the industry is realized, and an automatic, interpretable and traceable file auditing task is completed.

The application discloses a page test method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a target test table for a target page, wherein the target test table comprises a use case table and a use case step table of the use case table, the use case table comprises a target test use case for the target page, and the use case step table comprises test content of each test step in the target test use case; analyzing the use case table and the use case step table by using a preset test tool to obtain a use case data file and a test use case file; and testing the target page according to the use case data file and the test use case file to obtain a test result for the target page. According to the method, the use case data file and the test use case file are directly obtained through the use case table and the use case step table, and a test use case and a use case data file do not need to be manually written by a technician, so that the use case data file and the test use case file are obtained efficiently, and the test efficiency of the target page is improved.

The invention provides an intelligent file evaluation method and system based on cooperation of a multi-modal large model and a rule engine, and the method comprises the steps: carrying out the multi-modal content analysis of a file file, and generating an analysis result set containing a content segment, a page number identifier, a region position identifier, layout type information and a credibility score; combining the field description text with the anchor point description text to generate a structured evaluation fact set; inputting the set into a rule engine, executing normative rule judgment and generating a verification result with a judgment score; and finally, according to an evaluation dimension aggregation rule result, outputting a dimension score, an overall evaluation score and a question detail item. The system comprises a multi-modal content analysis module, an evaluation fact generation module, a rule engine module and an evaluation result output module. According to the method, high-precision automatic evaluation of complex file documents is realized, the evaluation efficiency and consistency are improved, and the method is suitable for smart office scenes.

An artificial intelligence (AI) patient actor system and associated functionality can be used to simulate an interaction between a medical student and a patient for educational purposes. The system can include a database including a patient case file and an assessment rubric, a prompt refinement system that provides the patient case file and the assessment rubric to an artificial intelligence model (e.g., a large language model (LLM), etc.), and a student interface system that causes a student user interface for simulating the interaction between the medical student and the patient to be presented via a computing device.

The invention provides a case material arrangement method and system and electronic equipment, and relates to the technical field of computers.The method comprises the steps that original case materials of different financial institutions are received and processed according to a material preprocessing strategy, and case metadata is generated; then performing batch supplementary processing on the case metadata to generate case reliable metadata, and storing the case reliable metadata to a corresponding case metadata folder; a template is configured according to a court case filing requirement to generate a to-be-used seal material; and finally, generating a case filing material set corresponding to each case metadata folder on the basis of the case filing material standard in combination with the case reliable metadata and the printed material. Through the method, the case materials can be subjected to standardized processing, and the efficiency and the accuracy of case material arrangement are improved, so that the processing efficiency is improved, and the requirements of large-scale and multi-customer complex scene application are met.

This invention provides an automated online transaction testing system and method based on the AIX system, comprising: a test case interpreter / executor module: taking test case files written according to a predefined syntax as input, interpreting and executing the test case files, and outputting a test report file after execution; and a test case manager module: generating test case tar packages, and reusing, managing, and maintaining test cases based on these tar packages. The automated online transaction testing solution for banks provided by this invention standardizes online transaction testing; supports the writing of personalized test case content through preset syntax tags; and supports the automation of online transaction testing through the syntax interpretation and execution of test cases. This invention implements four main functions—test case packaging, test case unpacking, test case storage, and test case retrieval—through the test case manager, achieving centralized maintenance and management of test cases.

The application provides an intelligent work injury identification research and judgment method based on natural language understanding, which can assist business personnel to obtain identification conclusions according to investigation results, search similar case files, give judgment results and legal basis, improve the accuracy and efficiency of work injury identification of business personnel, and avoid unnecessary litigation risks. The application has the following advantages: first, the method does not add any additional information to the original submitted information, which does not increase the burden of work injury identification personnel; second, the method can automatically assist business personnel to issue work injury identification conclusions and identification legal basis, and improve the work efficiency of business personnel; third, the method can search similar judicial judgment cases, and ensure the last link of work injury identification; and finally, the method is based on text information data, and is convenient for popularization and use in different institutions and different regions.

The utility model discloses a financial file storage device which comprises a base, a rotating disc and a storage cabinet. A turntable is arranged above the base, a first magnet is arranged on the lower surface of the turntable, a second magnet is arranged on the upper surface of the base, and the first magnet and the second magnet attract each other; the storage cabinet is a cylindrical cabinet formed by splicing a plurality of cabinet body units, each cabinet body unit comprises a cabinet body shell and a cabinet body cover body, a first guide rail is arranged on the upper surface of each cabinet body shell, and a first slot is formed in the lower surface of each cabinet body shell; the plurality of cabinet body units are divided into a plurality of cabinet body layers which are arranged in the vertical direction, and each cabinet body layer comprises a plurality of cabinet body units which are arranged in a circle in the circumferential direction of the rotating disc. The storage cabinet of the device is formed by splicing a plurality of cabinet body units, the classification expansion function is achieved, the storage cabinet is subjected to magnetic attraction damping force during rotation, and the safety during rotation can be improved.

Embodiments of the present disclosure disclose a wearable device monitoring scheduling method and device, an electronic device and a readable medium. A specific embodiment of the method comprises: obtaining case file information; performing file association processing on the case file information to obtain file association information; performing intent recognition processing on case query information to obtain query intent information; performing dynamic routing processing on the query intent information to obtain target query path information; performing multi-source query processing on a heterogeneous database to obtain case association query result information; generating performance requirement configuration information of a wearable monitoring device; obtaining each to-be-matched performance requirement configuration information; matching the to-be-matched performance requirement configuration information corresponding to the performance requirement configuration information as matched performance requirement configuration information; determining a to-be-scheduled device identifier; and controlling a preset robot to take out the wearable monitoring device and schedule it to a preset position. The embodiment reduces the number of incorrect scheduling of the wearable monitoring device.

Wireless Charging Dock for Lawyer Devices with Multi-Angle Case File Viewing

The invention discloses a DNA multi-dimensional genetic relationship intelligent matching tracking system and method, a storage medium and electronic equipment, and the system comprises a case management module which is used for creating a case file; the multi-modal data import module is used for providing an input interface of DNA-STR data; the target crowd library construction module is used for creating a target crowd library and storing the DNA-STR data of the target crowd into the target crowd library; the multi-dimensional genetic relationship calculation module is used for calling a preset standardized authoritative algorithm to calculate a genetic relationship according to a target crowd library and a to-be-analyzed material evidence inspection material selected by a user from the case file; the result output and sorting module is used for outputting analysis results containing the genetic indexes and intelligently sorting the analysis results according to the sequence of genetic index values from high to low; according to the invention, through multi-modal data import, target population library construction and multi-dimensional full-pedigree genetic relationship calculation, multi-dimensional genetic relationship intelligent matching pursuit and intelligent result sorting of case material evidence inspection materials are realized.

A system for integrating medical device case files with corresponding electronic patient care records (ePCRs) is provided. The system includes a database storing a plurality of medical device case files and at least one processor. The at least one processor receives, from a patient charting device, charting data documented in an ePCR for an encounter with a particular patient, generates a search criterion based at least in part on the charting data, the search criterion including a predetermined relationship between at least one first parameter from the charting data and at least one second parameter associated with a medical device case file, identifies the medical device case file based on the generated search criterion, and generates an integrated patient encounter record including at least a portion of medical device data from the medical device case file and the charting data.

The invention relates to a multivariate evidence correlation analysis method in the judicial field, and belongs to the technical field of intelligent processing of documents. The method comprises the following steps: loading judicial case file data and extracting an evidence content text; constructing an evidence rule template according to judicial domain knowledge and expert opinions; extracting evidence elements based on the rule template and constructing an evidence library; building a multivariate evidence information network, calculating the condition probability of association information among evidence elements based on a Bayesian network, and forming a multivariate evidence association analysis model; optimizing the multivariate evidence information network through a random strategy reinforcement learning algorithm; and calculating an information probability value of the multivariate evidence subnet, and selecting the most valuable multivariate evidence information network. According to the method, a multivariate evidence correlation analysis event of a judicial case is converted into an updating and optimizing task of a multivariate evidence information network, the complex correlation problem among multivariate evidences is simplified, a correlation model among the multivariate evidences is given, and certain auxiliary support is provided in a judicial decision support system.

The invention relates to the field of intelligent auditing and screening, and particularly discloses an intelligent case screening and auditing system and method based on a large model, and the system employs a text processing and analysis technology based on artificial intelligence and the large model to carry out the text recognition of a case file of a first patient object, and carries out the content correction and polishing. And then performing segmentation processing and semantic coding on the polished optimized case content, thereby intelligently checking whether a group entering qualification is met or not according to context change perception representation among semantic features described by each case content segment. According to the method, through support of an automatic process and a large model, errors caused by negligence or misunderstanding are reduced, the auditing period is greatly shortened, and it is ensured that key information is not missed. And meanwhile, differences among different auditing personnel are eliminated, and the consistency and reliability of results are improved.

The invention discloses a medical record file management and intelligent report interpretation system based on a multi-mode AI, and relates to the technical field of deep application and innovation of an artificial intelligence technology in the medical field, and the system comprises a medical record report uploading module, a medical record file management module, a report interpretation module, an auditing and modifying module and a digital duplicate video explanation module. The case file management module identifies and extracts contents in a medical record report based on optical character identification, large language model structuring and embedded model semantic alignment, and the identified and extracted contents are stored in a structured manner to obtain patient case file data; and the report interpretation module interprets the patient medical record file data to generate an interpretation report based on a private domain knowledge base and a generation framework generated by retrieval enhancement in combination with a pre-filtering and post-filtering dual guarantee mechanism. According to the method, the closed-loop workflow of first draft generation by the AI, examination and modification by the doctor and digital duplicate video explanation is adopted, so that the information reaching efficiency of special patient groups is greatly improved.

The application discloses a short video false news detection method based on multi-agent cooperative investigation, relates to the technical field of news content detection, and comprises the following steps: extracting and composing original modal vectors of short video news samples; performing multi-modal forensic analysis to obtain video analysis results of the short video news samples; performing intelligence information retrieval to obtain a structured credible evidence set; obtaining a main case file of the short video news samples; performing multi-round argumentation based on the main case file of the short video news samples to obtain an examination result of the short video news samples; and finally performing prediction to output a prediction score of the short video news sample as false news. The application has the advantages that the short video false news detection task is creatively reconstructed into a collaborative investigation process of forensics-examination-judgment. While ensuring that the output result has high interpretability and persuasiveness, excellent detection performance is achieved, and an innovative solution is provided for constructing a reliable automatic false news detection system.

The application discloses an intelligent auxiliary generation method and system of an administrative punishment case file. The method adopts a three-column parallel layout in a document preparation interface: left navigation, middle editing, and right intelligent review. When a user edits, the system analyzes the content in real time based on a rule base, classifies and displays the review results in the right area, and provides a contrast view of the original text, modification suggestions, and risk explanations for each result, as well as 'position original text' and 'accept revision' function keys. The user can adopt the suggestions with one key and automatically complete the correction. The application deeply embeds intelligent review in the document writing process, and realizes real-time guidance and efficient improvement of the quality of the case file documents through intuitive interaction design.

The present invention discloses a case filing pre-trial system for an intelligent governance platform, which relates to the technical field of data processing, and solves the problems of slow keyword extraction speed of case texts, high error rate of typo replacement, and low efficiency of case filing pre-trial for case texts; the case filing pre-trial system includes a processing and conversion layer, a matching and filtering layer, a learning and training layer, and an identification and pre-trial layer; the keywords of case texts are extracted through the TextMap algorithm, and typos in the form of similar-shaped characters and / or homophonic characters in the case texts are converted into correct fonts through a recurrent memory network; the case texts that have completed matching and filtering are iteratively trained through the learning and training layer to construct a comprehensive data weight matrix; the keyword extraction speed of case texts is improved, the error rate of typo replacement is reduced, and the efficiency of case filing pre-trial for case texts is increased.

The present application relates to the technical field of virtual simulation training, and discloses a construction method of a case investigation training platform based on network crime. The method comprises the following steps: performing spatial topology modeling on a physical training site, generating a virtual three-dimensional space model, and performing function partitioning of case simulation, electronic evidence collection, and command research and judgment; dynamically injecting multi-modal virtual evidence into the simulation area according to real case files; collecting environmental state and user operation behavior data in real time through a deployed probe; processing data according to preset case state transition rules by using a dynamic response engine, driving virtual scene elements to evolve in real time in a logical manner; and realizing state monitoring and deduction parameter adjustment through an integrated interactive console. The constructed platform realizes dynamic correlation of evidence and intelligent deduction of case information, and can improve the fidelity and practicality of investigation training.

The application discloses a method and system for whole-process case handling assistance driven by a large language model, and comprises the following steps: S1, judging whether received case file materials belong to an existing case; if yes, entering S2; if no, entering S3; S2, automatically identifying and filing the case file materials into a holographic archive of a corresponding target case, wherein a target case type template already exists in the holographic archive, and entering S4; S3, creating a new case as a target case, automatically identifying and filing the case file materials into a holographic archive of the target case, and matching a corresponding case type template from a case type template library as a target case type template according to a case type of the target case, and entering S4; S4, extracting behavior facts from the case file materials by using an industry special large model, and filling entities into the target case type template by using the behavior facts; S5, adapting a condition of a situation identification rule according to the behavior facts, and giving a situation identification qualitative conclusion; and S6, analyzing requirements of the target case type supported by the situation identification qualitative conclusion, and giving a case conclusion.

The invention belongs to a fault diagnosis method, and provides a generator fault diagnosis method and a related device for solving the technical problems that an existing automatic diagnosis scheme is difficult to cover complex fault scenes, or the professional degree requirement is extremely high, and the decision-making process in the diagnosis process is opaque. And inputting into a pre-trained fault diagnosis agent to obtain an interpretable reasoning path and a diagnosed fault occurrence reason. Wherein when the fault diagnosis agent is trained, a historical fault case file is analyzed through a large language model, a knowledge base composed of fault reasoning paths is obtained, the knowledge base composed of the obtained fault reasoning paths serves as a learning target of the fault diagnosis agent, and a more intelligent guarantee is provided for safe and stable operation of power generation equipment.

This invention provides a method for exchanging power market trading platform server, client, and clearing cases, comprising: the server in the operating environment compressing and encrypting power market optimization clearing data in the platform database into case information files according to data type and storing them; the client extracting the stored case information files, encrypting them to form case exchange files, and outputting them to a target location; the client in the laboratory environment reading, decrypting, decompressing, and verifying the case exchange files at the target location to form case files, which are then stored in the server; the loading module of the server extracting and decompressing the stored case information files into optimization clearing data and storing it in the platform database in the laboratory environment. The case information exchanged in this invention adopts a step-by-step encryption method to ensure the security of core data of market members in the case files, ensure that the case files can only be exchanged within the trading platform, and ensure that the multi-encrypted case exchange files cannot be decrypted offline.

The present application relates to a parallel joint simulation scheduling method, device and equipment for fault injection use cases. In the method, the original overall use case file is first decomposed into multiple sub-use case files, and corresponding simulation task files are generated, so that the simulation tasks obtained after the decomposition can be simulated and calculated separately. Then, when the simulation calculation fails, the content and cause of the error can be determined based on the statistical results. In addition, when the simulation calculation fails, the simulation task with the error can be re-simulated and calculated multiple times until it is determined that the simulation task is indeed wrong, or the simulation calculation error is caused by an error in the computing node, thereby being able to well deal with the situation of a large number of use case task errors and computing node errors in the prior art.