360 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.

Computer systems and software methods configured to automatically correlate subject matter items and provider data across multiple platforms. These platforms can include newsfeeds, websites, social websites, apps and networks, internet and social network posts, online reviews, online queries, and the like. The system automatically generates a targeted list of relevant subject matter items, associated with entity-provided workflow steps, to be matched with enhanced preferences, and generating a list of options to be presented to the subject matter users or clients. Subject matter items can be listed in order based on third-party reviews, if any, and the best fit for client preferences, with or without associated providers. Subject matter item providers who interact with the system operator can ensure that their goods and services are included within the system.

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.

The invention discloses an account management method and system based on a browser plug-in, electronic equipment and a medium, and the account management method comprises the steps: obtaining the account information of an enterprise, and storing the account information in a database of the account management system; and then account use application information of the enterprise employee is obtained, and if the account use application information passes, the corresponding account information is sent to the browser plug-in account corresponding to the enterprise employee from the database. Compared with the prior art, the method and the system have the following effects: a plurality of platform accounts in an enterprise are managed in a unified manner through the browser plug-in, so that enterprise employees can automatically log in the platform through the browser plug-in under the condition that the enterprise employees do not know platform account information so as to carry out related work processing; therefore, the efficiency and safety of enterprise account management are improved.

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.

A method includes generating output code based on input code using a compiler or translator and providing the output code to one or more platforms for execution. The method also includes receiving feedback associated with the execution of the output code, where the feedback identifies at least one of: one or more failures during the execution of the output code and one or more performance characteristics of the execution of the output code. The method further includes modifying the compiler or translator based on the feedback and generating additional output code using the modified compiler or translator.

Examples described herein relate to an apparatus that includes a memory and at least one processor where the at least one processor is to receive configuration to gather performance data for a function from one or more platforms and during execution of the function, collect performance data for the function and store the performance data after termination of execution of the function. Some examples include an interface coupled to the at least one processor and the interface is to receive one or more of: an identifier of a function, resources to be tracked as part of function execution, list of devices to be tracked as part of function execution, type of monitoring of function execution, or meta-data to identify when the function is complete. Performance data can be accessed to determine performance of multiple executions of the short-lived function.

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 relates to the technical field of interface packaging, and discloses an interface packaging system and method based on a cloud platform. The method aims at integrating third-party interfaces of different types of clouds, providing the same calling mode externally, and achieving unified authentication, flow control, statistics and the like of different types of interfaces. The platform generally provides templates and rules defined by the interface, the maintainability and the later expansion capability of the interface can be ensured, meanwhile, unified interface document management can also avoid the tedious process that a developer searches interface information in multiple platform documents, the detailed interface calling configuration achieves the interface automatic testing process, and the testing efficiency is improved. And the problem of interface differences from different sources is solved. According to the invention, unified calling of different source components and interfaces of different calling modes is realized; a redis first-level cache mode and a local second-level cache mode are used for relieving the pressure of a database network, and interface information is rapidly analyzed; and unified authentication of the interface is realized by using a redi and RSA2 asymmetric encryption algorithm.

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 belongs to the technical field of data processing, and particularly relates to an AIGC-based cross-platform digital human behavior synchronization method and system and a medium, and the method comprises the steps: obtaining interaction data with a user, obtaining a user demand, generating answer information based on the user demand by using an AIGC technology, determining a behavior action based on the answer information, and applying the behavior action to a digital human. The method comprises the following steps: collecting and storing related data of a digital human, naming a platform with changed related data as a first target platform, continuously monitoring the related data of the first target platform, starting timing after monitoring that the related data of the first target platform stops changing, and after a preset time interval, starting timing; the method comprises the following steps: performing synchronization processing on related data of a first target platform, acquiring difference data and dividing the difference data into a plurality of data blocks before the synchronization processing is performed, setting a temporary storage area, and sending the data blocks through the temporary storage area. According to the invention, the digital person with better experience feeling can be provided, and the digital person can keep behavior synchronization on a plurality of platforms.