200 results about "Application areas" patented technology

A decentralized artificial intelligence platform is disclosed that enables secure sharing and execution of AI modules in sensitive application domains. The platform comprises a knowledge module registry for discovering specialized AI modules, a security framework enforcing structural integrity of AI modules, a zero-knowledge proof validation service for verifying usage conditions without exposing private data, and a blockchain-based value chain for managing smart contracts and payments. In operation, an AI agent can fetch a required AI module from the knowledge module registry, prove the right to use it, execute the AI module on local data, and automatically pay the AI module's provider through a blockchain transaction.

Systems and methods for measuring, grading, evaluating, and comparing AI models via a graphical user interface are disclosed. The technology obtains a set of application domains of the AI model in which an AI model will be used. The application domains are mapped to one or more guidelines to determine a set of guidelines that define operational boundaries of the AI model. The guidelines are used to generate assessment domains, each associated with specific benchmarks that include indicators of a degree of satisfaction with the guidelines. For each assessment domain, assessments are constructed to evaluate the AI model's degree of satisfaction with the corresponding guidelines. The AI model is then evaluated against the assessments. Based on these comparisons, grades are assigned to the AI model for each assessment domain. The application-domain-specific grades are generated and displayed at a GUI, reflecting the AI model's degree of satisfaction with the guidelines.

The invention provides a vocational ability assessment system based on a skill map, and relates to the field of human resource technology and knowledge map application. The evaluation main system comprises a skill star map generation module, an occupational trajectory simulation module, a skill challenge module, a skill authentication chain module, a future skill navigation module, a skill collaborative ecological module, a skill evolutionary tree module, an occupational story generation module, a skill energy pool module, an occupational time capsule module and a control flow management module; according to the invention, the dynamic skill star map is constructed and the 5G network is combined to transmit data in real time, so that the occupational experience, learning records and test data of the user can be collected in time, and the node weight is dynamically adjusted through the semantic analysis algorithm and the weighted scoring algorithm; the problems that traditional manual evaluation and online testing are high in subjectivity and low in efficiency, and the capability cannot be accurately quantified are effectively solved.

The invention discloses a user non-inductive resource efficient scheduling method and device for a VR application and a storage medium, and belongs to the field of VR application. The method comprises the following steps: respectively extracting track time sequence features and video content features from user track data and image content data; respectively calculating attention weights of track time sequence features and video content features through a cross attention mechanism, adaptively and dynamically adjusting the attention weights of the features, and generating fusion feature information; inputting the fused feature information into a viewport prediction model, and outputting a viewport position prediction result in a future time window; dynamically selecting a multi-stream data source to perform resource scheduling by taking the viewport position prediction result and the current network state as resource scheduling conditions; and allocating a first code stream channel and network resources meeting the set QOS standard to a high-priority region concerned by the user in the viewport position prediction result. The dynamic change and scene switching of user behaviors are effectively handled, and the user experience quality is ensured.

The invention provides an intelligent assistant method and system based on a large model, relates to the field of large model application, is used for providing a question and answer result for a user question, and comprises the following steps: constructing an entity recognition cue word, and recognizing an entity in the user question through the large model; constructing intention recognition and tool selection prompt words, recognizing user intentions in the user questions through a large model, and determining tools to be used; based on the assembled user questions and entities, related information is retrieved from a pre-constructed vector knowledge base, and a large model is combined with the retrieved related information to enhance and generate an answer text; processing the answer text according to the user intention and the tool, and outputting a final question and answer result; according to the method, the limitation that a traditional intelligent assistant cannot deeply understand user semantics and only can mechanically carry out rule matching is solved, and the requirements of the user can be more accurately grasped to provide a more accurate problem solving strategy.

The invention discloses a label-based digital equipment model dynamic creation method and system, and relates to the field of complex data integration and equipment management technology application in the power industry, and the method comprises the following steps: predefining a general data label model, dynamically configuring a query model, and establishing a database; and constructing a digital equipment data entity and designing a technical process of parallel computing and asynchronous processing. Data standardization is realized, and the query efficiency is improved; through a dynamic configuration mechanism, the system can automatically generate the query model, and the flexibility is improved; through the data entity construction method, different business data can be associated through a standardized model, and the data consistency is improved; according to the method, parallel computing and cache optimization technologies are utilized, and data query and processing are accelerated; according to the method, an incremental updating mechanism is adopted, so that the real-time performance and consistency of data are ensured; according to the method, the creation efficiency, query performance and system flexibility of the equipment model can be remarkably improved, and better technical support is provided for digital transformation of the power industry.

The invention relates to the field of mobile applications, and particularly provides a cross-platform mobile application system and a task processing method thereof, a terminal and a medium, and the system comprises a cross-platform application framework layer which is used for constructing an interface and processing an interaction event; the core intelligent layer is constructed based on an AI agent development suite and is used for dynamically scheduling an AI agent according to a user intention and an application state; the AI agent pool comprises a plurality of agents with independent functions; the native function interface layer is used for bridging and calling native hardware functions of the equipment; and the large language model service interface is used for accessing large language model service. The method comprises the steps of receiving and standardizing a user event, analyzing a user intention, dynamically scheduling an agent to cooperatively execute a task, and finally updating a user interface by calling a native hardware function or accessing a large language model to enhance the capability. The intelligent level, the development efficiency and the user experience of the mobile application are improved.

The invention relates to the field of large model application, and provides a cloud environment intelligent operation and maintenance method and system based on an MCP protocol. The method comprises the following steps: in response to a natural language task instruction input by a user, generating a structured operation instruction according to an accessed large model; the structured operation instruction is sent to the user side for confirmation, if the user side modifies historical information or to-be-confirmed content, difference points are marked, incremental context is generated, and then the incremental context is sent to the server side to execute specific operation; after a user side submits modification information or makes a new request, correlation analysis is carried out on the large model, only relevant conclusions are reserved or intermediate key results are summarized, the results are submitted to the large model, a next decision is generated, and a natural language task instruction is directly executed and returned to the user side. According to the method, the context length can be greatly reduced, and the memory loss problem of the model in a long task can be relieved.

The invention relates to the field of computer application, in particular to a method, a device, equipment and a medium for integrating a heterogeneous business system and a workflow system.The method comprises the steps that business entity modeling is conducted on business receipts of the heterogeneous system, and a business table structure, a field type and a business entity referenced by associated fields are described in a setting form; binding a corresponding heterogeneous service system data query API (Application Program Interface) for the created service entity; performing approval form modeling, binding a mapping relationship between form control display contents and business entity fields, generating an approval form, and mapping business form data in real time by the approval form; performing flow modeling, defining a flow chart and binding a flow event, and calling a heterogeneous service system data query API to write back service form data at the event execution time; and modifying a submission button response event of the business form, and calling an open standard API of the workflow system to initiate an approval process. And flow centralized management and control are realized, approval entrances are unified, and consistent approval experience is provided.

The invention discloses a multi-source big data analysis cloud platform and a data analysis method thereof, and relates to the technical field of big data analysis. The method comprises the steps of receiving multi-source data to form a multi-source big database, obtaining a to-be-analyzed application field, extracting theme elements, capturing corresponding application field data from the multi-source big database and classifying the application field data, constructing an application field classification database, determining a multi-source data fusion coefficient influencing the application field according to the theme elements, and analyzing the multi-source data fusion coefficient. And performing multi-source data classification feature extraction and feature fusion on the application field classification database to generate multi-source data fusion features, and inputting the multi-source data fusion features into a pre-trained application field data analysis model to obtain an analysis result. According to the method, mass data of different formats and structures from different service systems can be gathered, multi-source data of the required application field can be quickly captured from multi-source big data, the multi-source data is integrated and analyzed, potential relations which are difficult to perceive by a traditional analysis method are found, and the analysis accuracy and reliability are improved.

The invention provides a method, device and equipment for generating a test case based on a large language model, and the method comprises the steps: obtaining a test demand of the test case, analyzing the test demand, and obtaining the type, the application field, the business process and the first key test information of the test case; on the basis of the type of the test case, the application field, the business process and the first key test information, constructing a cue word for generating the test case; and based on the cue word, adopting a pre-trained large language model to generate a test case. According to the method and the device, the cue word is constructed by considering the application field and the business process to which the test case belongs, so that the large language model can construct the test case in combination with knowledge information of the application field and context constraints of related business processes, and the generated test case naturally conforms to system business logic and a state machine contract; and seamless embedding with the existing system is realized.

The invention discloses a software testing system based on virtual reality, which comprises a data acquisition module, a testing module and an output module, and is characterized in that the testing module is used for deploying a running exercise amount target of a user on the current day; the data acquisition module, the test module and the output module are in communication connection with one another, user picture information is called and analyzed within different time through the head inclination angle detection sub-module, and a favorable basis is provided for the test system to monitor the motion state of a user; a foot force application area detection sub-module is used for acquiring a specific foot force application area of the user in a monitoring time period, and judging whether the current motion state of the user is stable or not; through the step number change trend detection sub-module, the step number increase condition of the user in the monitoring time period is monitored, the humanization degree of the treadmill is greatly improved, the daily experience of the user using the treadmill is improved, and the treadmill has the advantages of being high in humanization degree and high in motion parameter monitoring precision.

The invention discloses an official document processing method and device based on a large model and an official document generating and checking all-in-one machine. The official document processing method based on the large model can quickly respond to a user request, automatically match and call a pre-trained official document generation sub-model corresponding to a literary and sports category by automatically identifying an official document title and an official document keyword, and automatically process the official document in combination with knowledge base data of a corresponding application field. According to the method, the large language model technology is utilized to quickly and intelligently generate the official document file with high quality, official document processing which is specially refined in various official document styles and is combined with the user industry can be realized, and the official document processing efficiency is greatly improved. According to the document generating and checking all-in-one machine, software and hardware are perfectly combined, the problems of document format accurate generation, large model illusion, safety risk, computing power support and the like can be solved at the same time, safe and efficient operation of the all-in-one machine in a user intranet environment is achieved, and the difficulty and cost of building and maintaining a complex system by a unit are reduced.

The invention discloses a file security level checking method, device, equipment, medium and product based on an API HOOK of a windows operating system, and relates to the field of computer software application, the method comprises the steps that a callback function is registered by utilizing a driving module, when the windows operating system creates a process, a created process ID is sent to a service module in a user mode in the callback function, and when the process is created, the service module in the user mode is used for checking the security level of the file; receiving a service completion message of the service module; in the service module, based on a dll injection mechanism, injecting a dll injection program of the API HOOK module into the memory space of the created process; after the dll injection program is injected, an API HOOK module is utilized to modify an entry address of a target process API, and the entry address points to a self-defined hook function; the target process is the created process; and when the application opens the file corresponding to the target process, calling the security level judgment logic of the hook function, and judging whether the user security level can open the file corresponding to the target process, thereby avoiding the problem of high-density file leakage.

The invention provides an aerospace application knowledge graph construction method, device, system and equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-modal data; based on the data types, data processing is carried out on the modal data, and lightweight markup language texts and embedded vectors are obtained; performing knowledge extraction on the lightweight markup language text on the basis of a preset cue word and a large language model to obtain metadata information, and constructing an entity relationship triple on the basis of a relationship between entities and the metadata information; and based on the aerospace knowledge file number information, determining an association relationship among the aerospace knowledge file, the lightweight markup language text, the embedded vector and the entity relationship triple, and constructing the aerospace application knowledge graph according to the association relationship and the entity relationship triple. According to the space application knowledge graph constructed by the method, the space application field entities and the association relationship can be accurately presented, and efficient and accurate knowledge support is provided for space application knowledge questions and answers.

The invention provides a trusted data space platform and a fusion base thereof, in one embodiment of the trusted data space platform, a system architecture comprises a fusion base layer, a capability supporting layer, an application service layer and a global monitoring layer from bottom to top; the fusion base layer is a base support of a trusted data space, internalizes a space-time code and a digital network into a bottom layer protocol rule, and externally embodies a function service related to a right root; the capability supporting layer is used for forming basic capability of the trusted data space platform with the fusion base layer and directly carrying out interactive activities facing a user, the interactive activities are triggered by a data connector on a user side, and the data connector serves as an engine of the trusted data space platform; the application service layer provides data service for each application field; and the global monitoring layer is used for realizing global credible and controllable monitoring and analysis. Clear data ownership and credible data circulation are guaranteed from a global level, and large-scale circulation of data elements is supported.

The invention discloses an engineering safety video generation method and system based on a generative large model. The method comprises the following steps of obtaining an application field and a theme requirement of a required engineering safety video; on the basis of application fields and theme requirements, a retrieval enhancement generation mechanism is adopted to retrieve in the multi-modal knowledge base to obtain related data, and a large language model is utilized to generate a training script copywriting; extracting cue words from the training script copywriting, and based on the cue words, generating a corresponding image by using a diffusion model; and converting the training script copywriting into an explanation audio, and finally synthesizing a virtual explanation video with synchronous mouth shapes by an audio driving model. The method can be suitable for a plurality of engineering scenes such as buildings, mining industry, tunnels, high-altitude operation and the like, has the characteristics of process automation, high content specialty, high generation efficiency and high cross-scene adaptability, and effectively improves the production efficiency and training effect of engineering safety education videos.

The invention relates to the field of large model application, in particular to a model illusion control method and device, equipment and a storage medium. The method comprises the following steps: receiving a query request of a user, and positioning one or more trusted data sources which the user has access to based on a preset permission model and the query request of the user; retrieving verification information related to the query request from the trusted data source; combining the query request and the verification information to form an enhanced cue word, and inputting the enhanced cue word into the large model to generate a preliminary answer; and performing consistency verification on the preliminary answer and the verification information, and generating a final answer based on a verification result. According to the invention, the output reliability and practicability of the large-scale model in the enterprise key business scene can be improved.

The invention discloses an information extraction and integration method based on the RAG technology, and belongs to the field of large model application, and the method comprises the following steps: carrying out standardized splitting on documents in various formats to obtain a plurality of standard documents; inputting the plurality of standard documents into an information retrieval table filling pipeline to obtain a table with partial filled contents; and after carrying out cue word retrieval and filling on the information which is not filled, obtaining complete content output in combination with the table of which part of content is filled. Compared with manual filling, the judgment basis is more accurate and unified, the error rate and the omission rate are reduced, and the obtained results are convenient to integrate and be used for subsequent automatic processing work.

The invention discloses an R-tree spatial index design method oriented to a DRAM-NVM hybrid storage architecture, relates to the technical field of computer data storage, and provides a write optimization spatial index HR-Tree under the DRAM-NVM hybrid architecture. The core design thought is that internal nodes are deployed on a DRAM, leaf nodes are placed on an NVM, and a targeted data read-write operation process is designed; in the aspect of an index structure and an operation mechanism, a minimum expansion strategy is adopted around a scene of less reading and more writing, a leaf node data structure and an in-situ updating algorithm on the NVM are designed in a targeted manner, and the write request processing efficiency can be improved on the premise of ensuring data consistency. And the multi-character data expansion and efficient fault recovery are provided, so that the actual requirements of the user are better met by allowing more flexible personalized configuration and shortening the service pause time. The method is suitable for the application fields of computer technology, database technology, data storage and the like.

System and method for anti-phishing emails based on link domain name and user feedback The invention provides a system and a method for anti-phishing emails based on link domain name and user feedback. The system comprises an email receiving device, an email pre-processing device, an email property judging device, an outputting device and a feedback processing device. The method comprises the following steps: analyzing characteristics of the link domain name in the email, combining with a controlled network user feedback strategy, and identifying phishing emails and doubtful phishing emails. The Invention has advantages of high identification efficiency, low resource consumption and no error rate. The Invention can be configured to email servers, gateway servers and the like that require high real-time performance, protect the controlled network user against cheating by the phishing emails, resist the interference from the spiteful user in the controlled network, and can be widely applied to the application fields of network email filtering management, anti-phishing attack and the like.

The present invention provides an electronic device and a control method thereof. This electronic device: when a malicious application is recognized among a plurality of applications executed in a first application area, recognizes a hardware resource used by the recognized malicious application while being executed in the first application area; generates a logical resource on the basis of execution of a management application for managing the malicious application; generates a second application area on the basis of the recognized hardware resource and the generated logical resource; and if the malicious application is in a sleep state, moves the malicious application to the second application area, so that the malicious application is isolated in the second application area.

This application discloses a file security level checking method, apparatus, device, medium, and product based on Windows operating system API hooking, relating to the field of computer software applications. The method includes registering a callback function using a driver module; when the Windows operating system creates a process, the callback function sends the created process ID to a user-mode service module and receives a service completion message from the service module; within the service module, based on a DLL injection mechanism, the DLL injection program of the API hooking module is injected into the memory space of the created process; after the DLL injection program is injected, the API hooking module modifies the entry address of the target process's API and points this entry address to a custom hook function; the target process is the created process; when an application opens a file corresponding to the target process, the security level judgment logic of the hook function is called to determine whether the user's security level allows opening the file corresponding to the target process. This application avoids the problem of high-security file leakage.

The application discloses a kind of third-party library recommendation method and device based on high-order collaborative filtering, method includes: obtaining the interaction information between target application and third-party library, similarity is calculated, and then determine application hypergraph and third-party library hypergraph;Application node and library node are embedded in latent semantic space, and the latent semantic vector of application and third-party library is obtained;High-order neighborhood information of hypergraph is extracted by hypergraph neural network, and node vector is generated;The new node latent semantic vector is obtained by weighting aggregation to node vector and initial latent semantic vector;The inner product of the latent semantic vector of application and third-party library is calculated, and the possibility score is obtained, and then third-party library is recommended for application;The high-order neighborhood information is extracted by hypergraph in the application, so that node can obtain the high-order neighborhood information containing less noise, to generate more accurate node embedding vector representation, produce more accurate and diverse recommendation results, can be widely applied in computer technology application field.

The invention provides a structured data processing method, and relates to the technical field of data processing, and the method comprises the following steps: obtaining task structured data of a target task, obtaining object structured data, and if the object type of a target object belongs to the task type of the target task, obtaining the object structured data of the target task; if the attribute data of the target object meets the sub-task condition corresponding to the intermediate task and the geographic area where the object is located belongs to the task application area of the target task, taking the target task as the intermediate task, and if the attribute data of the target object meets the sub-task condition corresponding to the intermediate task, taking the sub-score corresponding to the sub-task condition as the attribute score of the intermediate task; and taking the sum value of all attribute scores of the intermediate task as a task matching score of the target object and the intermediate task, and if the task matching score of the target object and the intermediate task is greater than a matching success threshold value corresponding to the intermediate task, judging that the target object and the intermediate task are successfully matched. Therefore, the accuracy of judging whether the target object and the target task are successfully matched or not is improved.

The invention discloses an implementation method and device of a light-weight intelligent operating system and a computer readable storage medium. The implementation method comprises the following steps: creating a first started and resident Native application in the light-weight operating system; dividing a screen into a status bar, an application area and a navigation bar through a global top layer container RootView; switching between a Launcher module of the Native application and other system function modules, switching between the Launcher module and JS applications and switching between the JS applications are carried out in the application area; by means of the created Native application, intelligent functions and experiences such as Launcher, a system status bar and a navigation bar of a standard intelligent operating system are configured in a lightweight operating system, multi-application loading, switching and management functions similar to those of the standard intelligent operating system are achieved, switching between the Launcher and other system function modules is achieved in one application, and the operation efficiency is improved. The multi-application of the intelligent operating system is converted into the single-application multi-module of the lightweight system, so that the resource limitation and the application framework limitation of the lightweight system are solved.

The invention provides a feedback information generation method and device, and relates to the technical field of artificial intelligence, in particular to the technical fields of large models, automatic driving, intelligent traffic and the like. According to the specific implementation scheme, the method comprises the steps of determining an application field of current query information and a target component set associated with the application field; inputting the current query information and the target component set into a large language model, and generating a function component calling flow chart; and the execution function component calls the action instruction sequence corresponding to the flow chart to generate feedback information. According to the mode, the accuracy and efficiency of generating the feedback information are effectively improved.

The embodiment of the invention provides a software system testing method and device, equipment and a storage medium, and relates to the field of artificial intelligence and the application field of artificial intelligence in the field of financial science and technology. The method comprises the steps that in the software system testing process, when the accumulated duration is larger than the preset duration, the running process of the software system is analyzed according to at least one obtained target testing case, a target testing result corresponding to each target testing case and a target running log of the software system, and the expected running state of the software system is obtained; the target test case is automatically generated according to information in a pre-created case information base; generating a verification case according to the expected operation state; the verification case is operated, a target result of the software system is obtained according to the obtained operation result and the expected operation state, and the target result is used for representing whether the software system needs to be improved or not. In this way, the robustness of long-term operation of the system is tested through the automatically generated case in advance.

The invention relates to the field of computer network application, and particularly discloses a front-end user-oriented new media platform releasable rumor refuting method. Comprising the following steps that 1, content analysis is carried out, a target is determined, total information in the target is extracted, and the total information comprises one or more of a video picture, audio data, a title text, brief introduction content, a video link and a homepage link of an initiating user; step 2, information integration: converting the audio data into characters, extracting text information in a video picture, and integrating to obtain an event description text in combination with the character content included in the full-amount information; 3, rumor recognition, wherein rumor recognition and type judgment are conducted through a large language model; and 4, result feedback: feeding back an identification result to the initiating user. According to the new media platform releasable rumor refuting method facing the front-end user, real-time detection and deep recognition can be carried out, and the front-end user can be quickly fed back.

The invention relates to a web stabilizer (1) for a machine for producing webs, and is characterized in that the web (3) is sealed at the end side by means of a sealing element (6) or by means of a further sealing element (8) that can be moved relative to the web (3). The invention allows an advantageous and particularly energy-saving negative pressure design to be achieved in the field of use of the web stabilizer (1).