244 results about "Multiple platform" patented technology

An innovative system for integrating generative artificial intelligence (Al) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced Al techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an Al-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface. The system also features a cross-departmental health monitoring and notification mechanism, alongside an intent¬ based interaction system. This solution enhances organizational efficiency, improves decision¬ making, and provides unprecedented levels of automation and insight in managing complex SaaS ecosystems.

The invention discloses a multi-platform store normalizing method, which relates to the technical field of computers, and comprises the following steps: extracting a standardized data set through a multi-modal feature extraction technology to generate a multi-platform feature vector; the feature vectors of the multiple platforms are input into a multi-algorithm fusion engine, parallel matching calculation is executed, meanwhile, a dynamic weight distribution mechanism is designed, normalized platform IDs and a cross-platform mapping relation table are output, and a matching confidence report is generated; a normalization result is stored in a distributed database based on a block chain, an incremental synchronization mechanism is designed, data are divided and stored according to geographic areas, node loads are dynamically distributed through a consistent Hash algorithm, and updated normalized platform data are obtained; through a multi-modal feature extraction technology and a multi-algorithm fusion engine, deep mining of a standardized data set is realized, an accurate feature vector set is generated, and the accuracy of cross-platform data matching is remarkably improved.

The invention relates to the technical field of carrying equipment. The multi-platform compatibility optimization method and system for the carrying equipment controller are provided, and the method comprises the following steps: carrying out dynamic monitoring and topology analysis processing on a network node connection relationship of a carrying equipment cluster, and generating a dynamic network topological graph and a link state data set; performing training processing on the mapping relation between the network state and the protocol parameter, and generating a protocol parameter dynamic adjustment strategy and a protocol decision table; performing real-time switching processing on the cross-platform communication protocol stack to generate a control instruction data stream compatible with multiple platforms; performing dynamic updating processing on a reward function of the reinforcement learning model, triggering protocol parameter optimization to be executed again, and generating an iterative optimization protocol parameter dynamic adjustment strategy; the problems that topology awareness and dynamic response depended on by static routing are missing, protocol switching and compression ratio self-adaptive adjustment of network parameter solidification are invalid, and cross-platform instruction conflicts and transmission efficiency degradation of heterogeneous protocol adaptation are caused are solved.

The invention discloses a tool calling method based on a large language model, and the method comprises the steps: obtaining a question text which comprises task information; obtaining a matched first candidate tool set in the question text and a preset tool library; screening the first candidate tool set on the basis of locally available current hardware resources and / or available current online resources of a cloud application program interface (API) to obtain a second candidate tool set; determining a target tool matched with the task information from a second candidate tool set based on a large language model, and generating a tool calling instruction based on the target tool; selecting a called target tool based on the tool calling instruction, and obtaining an output result of the target tool; based on the question text and the output result, reply text corresponding to the large language model is obtained. According to the method, the tool with a higher matching degree can be obtained in combination with the resource occupation conditions of the tools of multiple platforms, and efficient utilization of resources and dynamic scheduling of task tools are realized.

The invention discloses a multi-platform-oriented intelligent interface adaptation and rendering optimization method and system, and belongs to the technical field of interface rendering. The method comprises the following steps: firstly, acquiring and analyzing interface description information, and extracting hierarchical structures and constraint relationships of interface elements to obtain abstract description features; performing adaptive layout mapping based on the environment characteristic parameters of the target platform, and dynamically adjusting space occupation and display priorities under the constraint of keeping the relative position relationship of interface elements unchanged to obtain a layout scheme after platform adaptation; determining resource consumption nodes according to interface element distribution characteristics, and determining a layered rendering strategy by analyzing visibility states and updating frequency characteristics; applying the layout scheme and the rendering strategy to a rendering execution process to generate output; and collecting performance feedback data to adaptively update a space occupation and rendering strategy. According to the method and the device, automatic adaptation and rendering performance optimization of the cross-platform interface are realized, and the multi-platform interface rendering efficiency and the user experience are improved.

Techniques for application deployment that include: determining an integrated platform application definition for an integrated platform application; determining an integrated platform application programming interface (API) for the integrated platform application; selecting a set of platform application modules to be integrated into the integrated platform application; generating, based on the application modules selected and the platform API, the integrated platform application, the integrated platform application operable to: obtain, for each of two or more platform applications corresponding to a platform application of the set of platform application modules selected, application results data for the user generated by the platform application; consolidate the application results data obtained to generate a consolidated results report for the user; and present, via a platform user device associated with the user, the consolidated results report for the user; deploying, in response to determining that the integrated platform application test results satisfy threshold testing criteria, the integrated platform application.

Aspects of the disclosure are directed to estimating a frequency histogram for users across multiple platforms while maintaining accuracy, security, privacy, and / or computational efficiency thresholds. The frequency histogram can be estimated unbiasedly with a configurable variance. The computations for generating the frequency histogram can be differentially private, satisfy provable security, and be efficient.

The invention discloses an intelligent timed task configuration and multi-mode feedback system based on natural language interaction, and relates to the field of industrial automation control, enterprise-level task scheduling management and instant messaging. The system comprises a natural language interaction module, a user natural language instruction is converted into structured semantic information through a BERT + BiLSTM + CRF mixed architecture, and lightweight processing is achieved in combination with TinyBERT distillation; the dynamic task arrangement module completes task creation, modification and the like based on structured information, completes missing parameters through historical task mode matching, and supports multi-session real-time synchronization; the rich media report generation module generates a multi-mode report containing charts, tables and the like, and the RAG technology and large model interpretation are combined; and the multi-channel pushing adaptation module adapts multiple platforms by adopting a strategy and factory mode. According to the system, the task configuration efficiency and flexibility are improved, the feedback form is enriched, the information pushing accuracy is guaranteed, and the exception handling capacity is enhanced.

The invention discloses a multi-platform-based advertisement creativity and putting strategy intelligent generation system, equipment and medium, multi-source data are integrated through a cross-platform creativity intelligent generation module to generate creativity materials adaptive to different platforms, and a cross-platform collaborative strategy optimization module is used for quantifying a platform collaborative effect and dynamically allocating budget. An advertisement creative life cycle is managed by means of a real-time dynamic optimization module, a strategy is adjusted based on multi-dimensional feedback, and finally, output of each module is fused through a unified decision engine to form a unified decision. The system realizes full-process intelligentization of advertisement originality and putting strategies, quantifies a cross-platform synergistic effect to improve budget distribution efficiency, constructs an advertisement originality life cycle dynamic management mechanism, realizes strategy real-time evolution through multi-dimensional feedback, and visualizes full-link data in combination with a unified decision engine, so that the advertisement putting return on investment is remarkably improved, and the advertisement putting efficiency is improved. The creative manufacturing cost is reduced, the strategy adjustment efficiency is improved, and an efficient and accurate multi-platform putting solution is provided for advertisers.

The invention relates to the technical field of block chains, in particular to a block chain multi-platform data credible management method and system based on a user portrait, and the method comprises the steps: carrying out the multi-platform data collection, obtaining a plurality of original user data sets, carrying out the encryption processing of the original user data sets, obtaining an encrypted user data set, carrying out the block packaging processing of the encrypted user data set, and carrying out the block packaging processing of the encrypted user data set. Performing consensus verification on the block to be subjected to consensus encryption to obtain an on-chain encryption block; performing feature extraction on the on-chain encryption block to obtain a user feature data set; performing feature division on the user feature data set to obtain a user feature type set; performing portrait construction based on the user feature type set to obtain a user portrait; and obtaining a portrait access standard, and according to the portrait access standard, performing authorization judgment by using the data access authorization unit. According to the method and the device, the problem of low data credibility in the current management process of the multi-platform data of the block chain can be solved.

Efficient generation of multi-platform compatible source code and test code with consistency and quality in software development SOLUTION: The schema-driven development system includes a user input unit, a schema generation unit, and a code generation unit, wherein the user input unit acquires data in various formats such as a natural language and a CSV file, the schema generation unit converts the acquired data into a schema, and the code generation unit generates a source code and a test code based on the generated schema.SELECTED DRAWING: Figure 1

The invention discloses a software upgrading control method and device supporting multiple platforms and an automobile. The method comprises the steps that a terminal periodically and automatically detects whether available systems or application programs are updated or not; when an available system or application program is detected to be updated, intelligently selecting a corresponding idle time and a spatial network mode to download an update package according to the network condition of the terminal and a preset user update downloading setting; when the update package is downloaded, automatically detecting and analyzing the use condition of the terminal, and judging whether the terminal is in an idle state or not; the specific platform type and the upgrading strategy of the terminal are analyzed, and an upgrading scheme of the terminal is automatically generated; and when detecting that the terminal is in an idle state, automatically installing and updating in a silent manner according to the generated upgrading scheme. The invention provides the method and the system capable of automatically detecting, downloading, installing and updating, and simultaneously supports a plurality of upgrading modes, so that the use experience of a user and the safety of equipment are improved, and convenience is provided for the use of the user.

The invention discloses an advertisement putting ROI dynamic optimization method and system based on real-time data driving. The method comprises the steps of collecting advertising data such as advertisement display quantity, click quantity, conversion quantity and consumption cost in a minute-level period through a multi-platform data interface; based on historical and real-time data, utilizing a machine learning model to predict the rate of return on investment (ROI) of each advertisement platform in a future time period; constructing an optimization problem with the overall ROI maximization as a target under the constraint of the total budget, and solving an optimal budget allocation strategy of each platform in each time period through an optimization algorithm; and synchronizing the budget allocation strategy to an advertisement platform for execution through an automatic control module, and recording ROI changes before and after optimization by a monitoring module to realize iterative updating of the model. Compared with the prior art, data acquisition, prediction and optimization can be completed in a minute-level period, dynamic allocation and rolling optimization of advertisement budget are realized, the overall ROI is effectively improved, putting waste is reduced, and the method is suitable for a multi-platform advertisement scene.

The invention provides a multi-platform data real-time synchronization method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an event generated by user operation and platform data change; analyzing the event and forming event information; classifying the event information, generating a synchronization task based on a classification result, and establishing a task queue by using the synchronization task; acquiring a synchronization task related to user access from the task queue, and deploying a prediction model at an edge node close to a user according to user behavior characteristics and historical access data in the synchronization task; acquiring a synchronization task related to the key data change from the task queue, and executing a distributed consensus protocol on the key data change, so that a plurality of platform nodes are consistent with the update state of the key data; and distributing the updating state after the consensus confirmation to a plurality of platform nodes. According to the invention, the delay can be reduced, the accuracy of data synchronization can be improved, the load can be reduced, and the real-time performance and consistency of data synchronization can be improved.

The invention relates to the technical field of cross-platform collaboration of an ERP (Enterprise Resource Planning) system, in particular to an ERP operation method for realizing cross-platform collaboration, which comprises a data conversion module, a protocol adaptation module, a task scheduling module and a resource allocation module. The data conversion module unifies heterogeneous data formats, the protocol adaptation module analyzes communication protocols, the task scheduling module dynamically adjusts task priorities, and the resource allocation module coordinates calculation and storage resources. According to the method, through improvements of a weight distribution algorithm, dynamic mapping updating, security verification, load balancing and the like, data integration and task collaboration among multiple platforms are optimized. The flexibility and adaptability of the system can be improved, the technical threshold is reduced, and the efficient and intelligent operation requirement of enterprises is met.

A cybersecurity system provides the ability to detect security risks in a cross-platform cloud solution. A unified data schema is used to abstract resources, principals and others across multiple platforms. A security graph is generated to present a unified view of cloud environments, which are then easily queried using the structure of the data schema. The solution allows a compact representation of cloud environments, which is scalable and multi-layered. The security graph allows for representation of production environments, staging environments, as well as code for deploying workloads in the cloud environment. Thus the solution is also able to present a complete picture of a user's entire cloud environment. The solution further allows to generate subgraph views, by associating a tag to certain nodes, then rendering a view based on nodes which include the tag, and all children nodes thereof.

The invention belongs to the technical field of real estate lease markets, and particularly relates to an AI-based multi-platform house resource intelligent release and house state linkage system, which comprises a house resource information management module used for firstly inputting house resource information and then editing the house resource information; and the house intelligent maintenance reminding module is used for predicting possible faults and maintenance requirements of house facilities and equipment by using an AI technology in combination with facility and equipment conditions and service life data in the house resource information, problems fed back by tenants in the daily use process and house state monitoring data of the system. According to the multi-platform intelligent publishing module, the one-key publishing function is achieved, a user does not need to manually input information on multiple platforms one by one, the original several hours of publishing time is shortened to be within 10 minutes, the publishing efficiency is greatly improved, a large amount of time and energy are saved, information input errors possibly caused by manual operation are reduced, and the house resource popularization effect is guaranteed.

The invention relates to an authority control system, method and device, computer equipment and a storage medium. The system comprises an SaaS platform and at least one sub-platform, the SaaS platform is used for distributing initial permission information to the sub-platform according to a permission template configured for the sub-platform in advance, the sub-platform is used for distributing corresponding permission to at least one user role according to the initial permission information, and the sub-platform is further used for receiving a data access request and sending the data access request to the SaaS platform. The sub-platform is used for acquiring a data access request and extracting role information in the data access request, the sub-platform is also used for acquiring a target permission corresponding to the role information, and when a permission corresponding to the data access request exists in the target permission, a corresponding data access operation is executed. By adopting the system, permission distribution and configuration of the SaaS platform to a plurality of SP platforms can be supported, and each SP platform can customize permissions according to requirements.

The invention discloses an offshore rocket self-lifting platform dynamic scheduling method based on cooperative intelligence, and the method comprises the following steps: constructing a plurality of platforms into an intelligent unit capable of autonomously responding to a task, and carrying out the dynamic marshalling through a cooperative mechanism, so as to achieve the self-adaptive matching between the task and the platform. In the method, multiple indexes are introduced as scheduling targets, weight parameters are dynamically adjusted according to real-time tasks, resources and environment information, and the scheduling flexibility is improved. And generating a scheduling strategy through a learning optimization mechanism, and controlling platform task allocation, path planning and execution time sequence. In the execution process, a scheduling strategy and a platform marshalling structure can be updated in time according to environment disturbance and task state changes, and smooth execution of tasks and stable cooperation of the platform are ensured. The method is suitable for a multi-task and high-frequency emission scene.

The invention discloses a binary optimization method supporting multiple platforms, and the method comprises the following steps: 1, starting a target application load in a process, and collecting and analyzing program dynamic behavior information in the process; 2, taking the program dynamic behavior information and the target application load obtained in the step 1 as input, disassembling a corresponding binary code, optimizing, and outputting an optimized application load after linking is completed; and 3, replacing the original code of the application load with the optimized code of the application load to realize online code replacement. The invention further discloses a system for realizing the binary optimization method. The system comprises a program dynamic behavior information acquisition module, an offline binary optimization module and an online code replacement module. The invention further discloses application of the binary optimization method or the binary optimization system in multi-platform binary code optimization.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating cross-platform applications. One of the methods includes receiving a request to generate one or more applications configured to perform one or more algorithms, wherein each of the one or more applications is configured to perform the one or more algorithms on a respective corresponding platform of a plurality of platforms; obtaining input data that represents user code that comprises the one or more algorithms; and processing at least a set of target language code derived from the input data to generate, for each of the respective corresponding platforms, a respective buildable application.

Systems and methods for building an application incorporating Al functionality include enabling access to a developer application framework associated with a SaaS platform, receiving application code for generating an application, and receiving a selection of an Al assistant add-on provided by the SaaS platform. A link is established between the selected Al assistant add-on and a SaaS platform element, permission is provided to access data from the at least one of the plurality of linked SaaS platform elements. Based on the permissions, data is transferred from the at least one of the plurality of linked SaaS platform elements, and Al integration code is received including at least one reference to the transferred data and at least one call to an Al agent. The application is published for selective use with SaaS platform elements and is configured to exchange data with the at least one of the plurality of SaaS platform elements.

Systems and methods for performing an operation intending to limit further in-application transfers are provided. A system may determine that a first transfer associated with a first account represents a first in-application transfer associated with a first application of a first type. The system may then calculate a sum of one or more transfer amounts associated with one or more in-application transfers during a time period. The system may then determine, based on a threshold defined for the time period, that the sum satisfies defined criteria. The system may then perform an operation intending to limit further in-application transfers associated with the first account during the time period.

The present disclosure according to at least one embodiment provides a passkey management method for a multi-platform environment, the method being performed by a computing device. The method comprises in response to receipt of a passkey generation request from a passkey agent installed on a first terminal based on a first platform, generating a first passkey usable on multiple platforms, and transmitting the first passkey to the first terminal, in response to receipt of a passkey list request from a passkey agent installed on a second terminal based on a second platform, different from the first platform, providing information regarding a registered passkey list to the second terminal, and in response to receipt of a request for the first passkey, among passkeys included in the registered passkey list, from the passkey agent of the second terminal, transmitting the first passkey to the second terminal.

The invention provides a platform door control system, which relates to the technical field of rail transit, and comprises two execution hosts and a plurality of platform door controllers, each execution host adopts a double two-out-of-two framework, and each platform door controller adopts a two-out-of-two framework; the execution host is used for sending target data to a target platform door controller through a CANFD bus between the execution host and the target platform door controller under the condition of receiving the target data for the target platform door controller, and the platform door controllers comprise the target platform door controller; and the platform door controller is used for responding to the target data under the condition of receiving the target data sent by the execution host. According to the platform door control system, mass data transmission between different electronic devices and the platform door controller in a rail transit system can be achieved, the data transmission efficiency between the electronic devices and the platform door controller can be remarkably improved, and the flexibility and universality of platform door control are improved.

The invention discloses a cross-platform teaching tool data collaboration and personalized resource recommendation system based on an MCP protocol, and belongs to the technical field of education. According to the system, a multi-platform teaching tool is in unified butt joint through the MCP protocol adaptation layer, and the problem of data splitting is solved; the data co-processing layer cleans and fuses multi-tool data, generates a teacher / student / parent data view and stores an evidence through a block chain; the personalized recommendation engine generates role-based resource recommendation based on a teaching knowledge graph and multi-dimensional behavior analysis; the user interaction layer supports multi-terminal access, and the data security module guarantees compliance. According to the system, the cross-platform data collaboration efficiency is improved by 70% or above, the resource recommendation matching degree reaches 92%, the system is suitable for K12 education, higher education and vocational education scenes, teaching tool data barriers are effectively broken through, and the teaching data utilization rate and the resource recommendation accuracy are improved.

The invention provides a network attack investigation method and system based on traceability graph retrieval enhancement, and the method comprises the steps: collecting multi-platform logs, and processing the multi-platform logs into a unified format; constructing the processed logs into a traceability graph through a traceability graph construction algorithm; identifying and detecting an activity community in the traceability graph, and revealing an association relationship between sensitive activities; in combination with the traceability graph, a multi-level abstract of system activities is generated, and community abstract information, entity abstract information and relation abstract information are covered; the accuracy of query response and the efficiency of information extraction are improved through a GraphRAG technology, and an attack survey report is given through an interactive query interface. According to the method, logs collected by multiple platforms and different log collectors can be processed, the full view of complex attacks can be captured more efficiently, a comprehensive and rapid attack survey result is provided for security analysts, and support is provided for network security evidence obtaining and analysis.

The invention relates to the technical field of music recommendation, and discloses a music recommendation method and device based on multiple platforms, equipment and a storage medium, which are used for improving the accuracy of music recommendation. The multi-platform-based music recommendation method comprises the steps of obtaining multi-platform music data, wherein the multi-platform music data comprises music listening histories of a user collected from at least two different music platforms; performing metadata completion processing on the music data of the multiple platforms to obtain target music data; performing cross-platform user portrait construction according to the target music data; and performing personalized recommendation algorithm processing according to the constructed cross-platform user portrait to obtain a target recommended music list.

The invention relates to the technical field of advertisement management, and discloses an advertisement publishing informatization management system and method, and the method comprises the steps: firstly obtaining the advertisement content uploaded by a user and a target distribution platform list, extracting the content specification requirements of each platform, and then carrying out the informatization management of the advertisement publishing based on the platform content specification requirements of each target distribution platform; and performing semantic detection on the advertisement content to obtain a semantic detection result. If it is found that the copywriting is not matched, content adaptation enhancement is carried out on the advertisement content to obtain the adaptive advertisement content, and it is ensured that the advertisement content keeps high-quality expressive force while meeting the platform specification. Finally, automatic release of the adaptive advertisement content is realized, and the efficiency and accuracy of advertisement release are remarkably improved. According to the method, the advanced natural language processing technology is integrated, unified management across multiple platforms is supported, the complexity and error rate of manual operation are reduced, the method is suitable for enterprises and individuals who need to efficiently and accurately publish advertisements, and the advertising industry is promoted to develop towards the intelligent direction.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface.