197 results about "Multiple platform" patented technology

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 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.

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 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 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 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.

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.

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.

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.

The invention provides a cross-platform brain-computer interface normal form system suitable for natural state monitoring, and the system comprises a cross-platform development module which achieves the operation of a set of codes on a plurality of platforms through an owner-drawing engine; the task integration and expansion module is used for integrating various brain-computer interface normal form tasks; establishing a local material library management mechanism, and performing association configuration on task types and stimulation materials through a data configuration file; according to the multimedia precise synchronous control module, an asynchronous programming mechanism and a timer function of a Flutter are adopted, when audio and video materials are played or ended, a hardware circuit or streaming data of an electroencephalogram collecting device, a physiological multi-guide instrument or a network camera is labeled, alignment of multi-device and multi-modal data is achieved, and the multi-device and multi-modal data are integrated. Generating a task log containing a timestamp mark; and the natural stimulation task module is used for incorporating a task for simulating a natural scene into a brain-computer interface normal form. And a brain-computer interface system which gives consideration to cross-platform consistency and flexible configuration of natural scene tasks is provided.

Systems and methods translate and govern directives across heterogeneous platforms. In some embodiments, directives are normalized into a common intermediate representation (CIR) for validation, conflict handling, and deployment. In other embodiments, a direct semantic mapping engine converts source directives directly into target-native, machine-executable directives without a CIR and without normalization, consulting a platform capability database and synthesizing target-compatible scripts, profiles, workflows, or rules where native primitives are absent. Ephemeral triggers (e.g., time window, incident, risk, posture, geofence) cause generation and atomic activation of temporary directives that supersede baseline directives for a defined scope and interval, with withdrawal on expiry to restore the baseline. Adapters actuate across families including cloud control planes, operating systems (Windows / macOS / Linux), IoT / OT, Kubernetes, identity, email / DLP, browser, and SaaS / social platforms. Both approaches share validation, simulation, and governance / deployment engines supporting approvals, audit logging, staged rollout, rollback, and continuous feedback.

The invention discloses a logistics early warning management and automatic processing system and method based on multiple platforms and multiple shops, and relates to the technical field of e-commerce logistics management, and the system comprises a data collection and processing module which is used for carrying out the butt joint of order management systems of multiple e-commerce platforms through a standardized interface, obtaining the order logistics data of each shop in real time, and sending the order logistics data to a server; the original logistics data are cleaned, analyzed and standardized, and are aggregated and stored to the unified data storage module according to the dimensions of shops, platforms and logistics providers. According to the logistics early warning management and automatic processing system and method provided by the invention, comprehensive integration and unified display of logistics information are realized through integration of multi-platform order data, the tedious problem of cross-platform information viewing of merchants is solved, the operation requirements of different merchants are flexibly adapted through self-defined early warning rules and an intelligent grading mechanism, and the logistics early warning management and automatic processing system and method are high in practicability. The accuracy of abnormity identification is improved, logistics business work orders are automatically connected, and the abnormity processing flow is greatly simplified.

The invention discloses an enzyme activity optimization and dynamic screening method based on collaboration of multiple computing servers, belongs to the field of computational biology and enzyme engineering, and realizes collaborative design of multiple platforms by integrating technical advantages of online and local computing servers such as FireProt 2.0, PROSS, Rosetta and FoldX 4.0. Mutation design is carried out from multiple dimensions of structure prediction, evolution conservative property, energy calculation and the like, and a potential mutant library is constructed; a multi-condition screening strategy is used, and a mutant with high potential is screened out through visual inspection, conservative analysis and multi-method cross validation, so that invalid design is avoided; molecular dynamics simulation and MM / GBSA binding free energy decomposition are further combined for dynamic binding analysis, the influence of mutation on the substrate binding strength is quantified, and the stability and reliability of mutation effect prediction are remarkably improved.

The invention provides a system software joint member business mode implementation system supporting cross-platform account intercommunication, and relates to the technical field of computer software. According to the system, through an account intercommunication module, a joint member management module, a data linkage module, a merchant collaboration module, a user interaction module, and a newly added right and interest monitoring sub-module and a newly added right and interest adjustment notification sub-module, the problems that existing cross-platform software accounts are isolated, member right and interest management is loose, merchant collaboration is low in efficiency and user right to know is insufficient are solved. According to the invention, the core is to realize cross-platform intercommunication of accounts based on unified identity authentication, provide joint membership services of one account, clear rights and interests and accurate notification for users in combination with dynamic rights and interests combination, real-time rights and interests monitoring, intelligent revenue splitting and an active notification mechanism, and help merchants to operate accurately, reduce risks and improve the user experience. And finally, three-party value optimization and ecological win-win of multiple platforms, merchants and users are realized.

The invention relates to the technical field of data storage, and discloses a multi-platform dirty disk performance consistency testing method for a solid state disk, which comprises the following steps: acquiring configuration information of a to-be-tested solid state disk and recording a SMART data baseline; the method comprises the following steps: initializing a solid state disk, performing steady-state preprocessing in an empty disk state of the initialized solid state disk, and recording performance data at the moment as an empty disk reference; filling the dirty disk proportion of the solid state disk to a target value in a sequential or random write-in mode, applying a corresponding dynamic load model under the dirty disk proportion, and continuously performing performance sampling, recording performance data and generating a performance attenuation curve; and starting a CPU pressure test, a memory bandwidth test and a GPU load test at the background while running the solid state disk performance benchmark test. According to the SSD performance compatibility testing method and system, cross testing is carried out on two mainstream platforms of AMD and Intel, and the performance compatibility of the SSD in different system environments can be systematically evaluated.

This application discloses a unified management method and system for heterogeneous signing platforms with multi-protocol adaptation. The method includes: receiving signing requests through a unified signing interface and determining the target signing platform type according to a routing strategy; calling the corresponding adapter from multiple platform adapters registered in a pluggable manner according to the target signing platform type; converting standardized request parameters into the calling format and authentication method of the target platform's native interface and initiating a signing task by calling its API; mapping standardized signing capabilities to the signing capabilities actually supported by the target platform; using a dual-channel mechanism combining active query and passive callback to synchronize the signing status of the target platform to a unified state machine in real time; and converting the signed document and evidence chain returned by the target platform into a unified format and sending it back to the core service layer for archiving. Implementing the embodiments of this application can achieve unified access, scheduling, and management of multiple heterogeneous signing platforms, reducing the technical complexity of multi-platform integration.

The invention relates to an API deployment method and device, computer equipment, a storage medium and a computer program product. Relates to the technical field of data processing. The method comprises the steps of obtaining API calling relations of multiple to-be-deployed platforms, and generating a cross-platform API calling topological graph based on the API calling relations of the to-be-deployed platforms; key API nodes in the API calling topological graph are extracted, and a dynamic abstraction layer of the key API nodes is constructed; based on the dynamic abstraction layer, determining an initial resource configuration scheme of the API instance, and constructing an API management layer; generating a probability graph of an API calling path based on the API calling information in the dynamic abstraction layer and the historical calling data in the API management layer; determining a target API routing strategy based on the API calling relation and the network topology information in combination with the probability graph; based on the target API routing strategy, API deployment of the multiple to-be-deployed platforms is completed. By adopting the method, API deployment can be efficiently carried out in a cross-platform and large-scale application scene.

This invention discloses a method and system for data fusion of multi-platform commercial outlets based on multi-source heterogeneous data. It relates to the field of data processing technology. The method involves acquiring commercial outlet data from multiple platforms and performing validity verification to generate an initial data foundation for each platform; extracting outlet coordinate information and performing a unified format conversion to obtain a coordinate-standardized commercial outlet dataset; constructing a multi-industry knowledge graph and an industry-wide common affix library; using algorithms to remove common name affixes and retain core feature identifiers to generate a feature-identified dataset; constructing a similarity algorithm to extract multiple features of outlets, calculate their similarity separately, and fuse them to obtain an overall similarity, generating a similarity matching result set; and identifying and removing duplicate data from multiple platforms based on the matching results to generate a full dataset of multi-source fused commercial outlets. Compared to traditional fusion methods, this method achieves accurate feature identification and quantitative determination of duplicate data, improving the completeness and accuracy of the fused data and making more efficient use of computing power.

The application discloses a hypertext page rendering method and device, electronic equipment and storage medium, the method comprises the following steps: in response to the cross-platform application starting instruction, generating the hypertext page rendering request of the target application, and obtaining the web page code information of the target application corresponding to the hypertext page rendering request from the management server, the web page code information is analyzed, and the second hypertext object structure corresponding to the preset rendering frame is generated based on the first hypertext object structure in the code analysis result, the rendering is carried out based on the second hypertext object structure, and the hypertext page is obtained. The method can improve the consistency and smoothness of the hypertext page rendering on multiple platforms, so that the user can obtain the same experience when opening the hypertext page and opening the native page, and the user has no perception.

A management device manages one or more platforms, each having a storage device including one or more volumes, and stores: a policy table defining a policy concerning a volume as a resource and a copy policy concerning copy to define an operation of copying data to the resource; an operation origin table defining an operation origin in the platform where the operation is performed; and a state table for maintaining states of the operation origin. The processor extracts a combination of the resource and the operation from a combination of the policy concerning the volume and the policy concerning the copy. The processor identifies the operation origin from the combination of the resource and operation and determines whether the operation origin is normal, and determines whether the combination of the policies concerning the volume and the copy causes a failure on the operation origin determined to be abnormal.

A big-data view integration platform generates integration guided user interfaces (GUIs). A first edge node ingests push-based and pull-based data from a plurality of platform services, which include legacy and non-legacy services having incompatible communication protocols. An event-based queue receives from the first edge node a plurality of queue events as indirect push-based data. A second set of queue events includes direct push-based data as received directly from a non-legacy platform service. A conformity component integrates the push-based data, the pull-based data, and the plurality of queue events into integration data having an enhanced integration format. A view integration component generates a plurality of data views from the integration data. A second edge node exposes the plurality of data views via an access services application programming interface (API). A new service execution component accesses the access services API to generate integration GUIs based on the data views.

A method and system for publishing products on multiple platforms. The method includes: determining, in response to a platform determination instruction, ports of e-commerce platforms corresponding to the platform determination instruction; obtaining initial product data in response to a first publishing instruction, and generating first publishing information based on the initial product data; identifying the initial product data based on a preset model to generate second publishing information; detecting a blank mandatory item related to product attributes in a publishing page of each of the e-commerce platforms, and setting a preset sequence option of the blank mandatory item as third publishing information; and sending the first publishing information, the second publishing information, and the third publishing information to the ports of the e-commerce platforms to publish a product corresponding to the initial product data on each of the e-commerce platforms.