58 results about "Intelligent interface" patented technology

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.

The invention provides a test program generation method and device, computer equipment and a readable storage medium, and belongs to the technical field of software development. The test program generation method comprises the steps of obtaining a test requirement document of a target chip; analyzing the test demand document to obtain keyword information corresponding to the test demand document; based on a preset test development model and the keyword information, obtaining test demand development model information; according to the test requirement, developing model information, calling at least one artificial intelligence interface in a preset large language model, and generating a plurality of test codes; and according to the plurality of test codes, generating a target test program corresponding to the target chip. According to the method, the effects of shortening the development period of the test program and improving the development efficiency of the test program can be achieved.

Data structures and applications are defined with an application development environment which employs the use of a natural language artificial intelligence interface and recorded metadata descriptions, which are converted at runtime to generate underlying software code (e.g., C#, SQL, JavaScript, etc.) to implement the application. The data structures include application data elements described in a data serialization format. Each application data element includes fields that each represent an individual value. Each field is defined with a label, a data type, and attributes. The data structures also describe relationships or links between application data elements, as well as data-driven or time-based rules that drive further data manipulation and interactions within and external to the programming development environment through a variety of interfaces (e.g., HTTP, SMTP, SMS).

The invention relates to the technical field of computer software, and discloses a large-model-oriented intelligent interface registration and framework calling method, which comprises the following steps that: a front-end service registers various back-end services based on a vyes framework through a uniform interface, and each back-end service transmits interface capability information through a standardized ap i. Json file; when a user requests, the front end packages request content and an ap i. Json file and submits the request content and the ap i. Json file to the large language model, the model analyzes an intention and matches an AP I interface, and a calling instruction is generated; after front-end analysis, the HTTP request is converted into a standard HTTP request to call back-end service, a back-end return result is integrated by the front end and then submitted to the large language model again to generate a natural language response, the natural language response is finally displayed to a user, and a closed-loop process is completed. According to the method, through deep fusion of self-registration, intelligent matching and automatic calling, the technical threshold of enterprise-level application is reduced, and deep landing of a large language model in the vertical field needing dynamic interaction and multi-service collaboration is promoted.

The invention relates to the technical field of intelligent interface generation, in particular to an interactive interface generation method and system, computer equipment and a medium. The method comprises the following steps: receiving a multi-protocol interaction request, and extracting natural language context information carried in the multi-protocol interaction request through a protocol processing layer; according to the natural language context information, executing cue word processing to generate interface generation trigger judgment; when the interface generation trigger judgment indicates that an interface needs to be generated, generating an interface mode definition instance based on the natural language context information and a preset cue word template; and according to the interface mode definition instance, generating an interactive interface through a rendering output device. In this way, the technical problem that in an existing interface generation technology based on natural languages, it is difficult to collaboratively optimize the interface dynamic adaptation capacity and the system expansibility is solved, and the intelligent level, cross-platform compatibility and service response agility of interface generation are improved.

The invention provides an intelligent interface optimization method and system based on user behavior analysis, and the method comprises the steps: obtaining user operation data which comprises shortcut key combination, mouse click, dragging operation and corresponding timestamps and coordinate position information; clustering analysis is carried out on the user operation data to obtain different user groups, and the clustering analysis is carried out according to shortcut key use frequency, mouse click frequency and dragging operation duration; for each user group, an operation feature vector is extracted, and the operation feature vector comprises shortcut key combination frequency, mouse click position distribution and dragging operation duration distribution; constructing a user feature matrix according to the operation feature vector; and obtaining an output result of the behavior prediction model.

The invention discloses a satellite test intelligent interface adaptation method, system and equipment and a storage medium, belongs to the technical field of industrial automatic test, and solves the problems that an existing single-machine test process is complicated, equipment required by the test is dispersed, test results are easy to generate errors, and the working efficiency is low. Comprising the following steps; the method comprises the following steps: S1, a single machine docking module is used for extracting related information of a to-be-tested item of a to-be-tested single machine and sending the extracted related information of the to-be-tested item of the to-be-tested single machine to a transfer box module; s2, the transfer box module is used for testing related information of to-be-tested items of the to-be-tested single machine and sending a test result to the test data analysis module; the transfer box module comprises a plurality of functional board cards; the plurality of function board cards are used for respectively testing corresponding related information in items to be tested of the single machine to be tested; and S3, the test data analysis module is used for judging the test result and completing interface adaptation based on the judgment result.

The invention provides a high-interpretability cross-modal extensible artificial intelligence system which comprises a high-interpretability encoder, the high-interpretability encoder is connected with a multi-modal input interface, and the high-interpretability encoder maps a multi-modal parameter input by the multi-modal input interface into a layered traceable tensor; the hierarchical constraint inference engine is connected with the high interpretability encoder, and the hierarchical constraint inference engine is used for cross-scale dynamic constraint propagation and attention coupling between modes; the extensible intelligent interface is connected with the hierarchical constraint inference engine, and the extensible intelligent interface is used for supporting plug-and-play extension of a new domain module; and the bidirectional projection output module is connected with the extensible intelligent interface. The reasoning path is traceable; the cross-modal precision is improved, the modules in the new field are plug-and-play through the extensible intelligent interface, the adaptation time is long, and the extension efficiency is high.

To provide an information processing device that can estimate the factors behind a phenomenon based on events described in text. [Solution] This information processing device comprises a question input unit into which questions inquiring about the factors of a phenomenon are input, an artificial intelligence interface unit that inputs a set of sentences representing the causal relationships of events and the questions input into the question input unit into a large-scale language model and obtains answers to the questions from the large-scale language model, and an output unit that outputs the answers obtained by the artificial intelligence interface unit.

The invention provides a modularized multifunctional sensing node and ad hoc network communication system, which comprises a node construction module, a sensing node is formed by combining a basic unit and a pluggable function module through an intelligent interface, and metadata containing type identification and functional characteristics are arranged in the function module; the dynamic adaptation module monitors the plugging state of the function module in real time, dynamically loads driving resources based on metadata, and configures a power management strategy and a communication protocol selection strategy; and the intelligent networking module dynamically optimizes a routing path by periodically exchanging capability information among the sensing nodes in combination with link quality, capability information and network load, and triggers a dynamic gateway election mechanism when a fixed gateway fails. According to the invention, plug and play and resource adaptive configuration of the hardware module are realized, the flexibility, expandability and network robustness of the system are improved, and the method is suitable for distributed sensing application in a complex environment.

Techniques for intelligently managing task automation across multiple tasks and multiple automated assistants are provided. In one aspect, an intelligent multitasking system includes: a context manager configured to use human-centric input data to determine a context of a user; an intent mapper configured to map human communication to automated task intents; and an interruption manager configured to schedule automated tasks for performance by automated assistants based on the context of the user and the automated task intents. The context manager can be hosted on a cloud having MQTT clients (e.g., IoT sensors) and an MQTT broker. The intent mapper can include a human-machine software communication interface that identifies verbal and / or non-verbal communications. A method for intelligent multitasking is also provided.

The invention provides an intelligent interface matrix for an integrated test of a power transformer, and aims to simplify complex wiring operation in a traditional test and improve the automation level and the working efficiency of test wiring of the power transformer. The intelligent interface matrix is composed of an intelligent control module, a test interface unit and a sensing monitoring module, and supports wiring tasks of conventional tests of dielectric loss, excitation characteristics, loop resistance, primary and secondary DC resistance of a current transformer, transformation ratio, dielectric loss, insulation resistance and the like of a voltage transformer. Signals such as voltage and current in a test are monitored in real time, the intelligent interface matrix automatically identifies the type of the power transformer, a test sequence is preset according to different types of transformers, a plurality of adjustable test interface units are stably and safely switched in a high-voltage and large-current environment, various test wiring work is efficiently and rapidly completed, and the test efficiency is improved. Manual intervention is remarkably reduced, and the test safety, reliability and overall working efficiency are effectively improved.

The invention relates to the technical field of man-machine interaction, in particular to a low-code interface generation and optimization method based on user behaviors, and integrally solves the problems that in the prior art, a man-machine interaction interface only stays on a basic interaction function level, intelligent interface adjustment and personalized service are lacked, and user experience is poor. In order to overcome the defects that user behaviors are not deeply analyzed by using machine learning, dynamic interface adjustment and efficient performance optimization are difficult to realize, and user experience and satisfaction are influenced, low-code and intelligent generation and dynamic optimization of an interface are realized through a cross-frame real-time point burying technology, a lightweight machine learning model and a bimodal interactive closed loop, and user experience and satisfaction are greatly improved. And the user experience and the development efficiency are improved.

The present application provides a test program generation method, apparatus, computer device, and readable storage medium, belonging to the technical field of software development. The test program generation method includes: obtaining a test requirement document of a target chip; parsing the test requirement document to obtain keyword information corresponding to the test requirement document; obtaining test requirement development model information based on a preset test development model and the keyword information; calling at least one artificial intelligence interface in a preset large language model according to the test requirement development model information to generate multiple test codes; and generating a target test program corresponding to the target chip according to the multiple test codes. The present application can achieve the effects of shortening the development cycle of the test program and improving the development efficiency of the test program.

Techniques for implementing task inference using an AI interface are disclosed. In an example method, a computing system receives, from a first client device, a first chat message. The computing system determines, using a language model, a task based on the first chat message, the task including one or more executable instructions. The computing system outputs, to the first client device, information about the task. The computing system receives, from the first client device, a first indication to perform the task. The computing system outputs one or more commands to cause an execution of the one or more executable instructions of the task and a generation of a task output. The computing system outputs, to the first client device, the task output.

The application discloses a kind of multi-platform-oriented intelligent interface adaptation and rendering optimization method and system, belong to interface rendering technical field.The method is first obtained and parses interface description information, extracts the hierarchical structure and constraint relationship of interface element, obtains abstract description feature;Adaptive layout mapping is carried out based on the environmental characteristic parameter of target platform, under the constraint of keeping the relative position relationship of interface element unchanged, dynamically adjust space occupation and display priority, obtain the layout scheme after platform adaptation;Determine resource consumption node according to interface element distribution characteristics, determine hierarchical rendering strategy by analyzing visibility state and update frequency characteristics;Layout scheme and rendering strategy are applied to rendering execution process to generate output;Collect performance feedback data to adaptively update space occupation and rendering strategy.The application realizes the automatic adaptation and rendering performance optimization of cross-platform interface, improves the multi-platform interface rendering efficiency and user experience.

This invention provides an on-chip integrated intelligent actuation control device for aircraft based on a software-defined and hardware-accelerated collaborative paradigm using silicon photonic interconnects, belonging to the field of avionics and flight control technology. The device uses software-defined methods for functional configuration and reconfiguration, while hardware acceleration ensures link determinism and performance. Its core features include: achieving highly interference-resistant signal sensing and isolated transmission through a software-configurable silicon photonic interconnect intelligent interface; integrating a reconfigurable sensor computation and a hard real-time control law engine through a heterogeneous computing acceleration center, providing deterministic and high-performance sensor computation and control law execution; achieving efficient and safe energy conversion through a software-defined intelligent power drive module; and performing global collaborative configuration and online optimization of the above modules through an edge intelligent management unit. This invention resolves the contradiction between task adaptability, extreme real-time performance, and operational reliability in actuation control, and is applicable to distributed intelligent actuation systems for multi-electric / all-electric and hypersonic aircraft.

The invention discloses an intelligent energy data management platform front-end interface generation method and system. The energy data management platform front-end interface generation method comprises the following steps: inputting an interface customization requirement into an intelligent model; the intelligent model outputs a preliminary design suggestion based on an interface customization requirement and a knowledge base; performing demand adjustment on the preliminary design suggestion to obtain an actual design demand; the intelligent model generates a corresponding code text; the intelligent model converts the corresponding code text into a visual interface through an intelligent interface display module; and adding a preset interaction effect to the visual interface, and obtaining a final energy data management platform front-end interface. The energy data management platform front-end interface generation system comprises a user behavior module, an intelligent model, an intelligent model auxiliary module, an SQL generator module, a knowledge graph, a vector database and an intelligent interface display module. According to the method, the energy data management platform front-end interface meeting the user requirements can be more efficiently researched and developed.

This invention discloses a management method for trusted blockchain data, belonging to the field of trusted data technology, comprising the following steps: S1, constructing a four-layer architecture of "privacy enhancement layer - dynamic consensus layer - cross-chain collaboration layer - value mining layer," with each layer achieving collaborative linkage through intelligent interfaces; S2, the privacy enhancement layer adopts a scheme integrating zero-knowledge proof, homomorphic encryption, differential privacy dynamic noise injection, and blockchain key sharding management; S3, deploying an enhanced adaptive consensus switching mechanism in the dynamic consensus layer; S4, constructing a cross-chain mapping network based on a distributed hash table in the cross-chain collaboration layer; S5, introducing an enhanced federated learning framework in the value mining layer. This invention, employing the above-mentioned management method for trusted blockchain data, allows the strength of privacy protection to adapt to scenario requirements, significantly improves the identification and response speed of malicious nodes, enhances cross-chain collaboration capabilities, and makes data value mining more accurate.

The application provides an intelligent interface matrix for power transformer integrated test, aiming at simplifying the complicated wiring operation in the traditional test and improving the automation level and work efficiency of the power transformer test wiring. The intelligent interface matrix is composed of an intelligent control module, a test interface unit and a sensing and monitoring module, supports the wiring task of completing the conventional test of the current transformer dielectric loss, excitation characteristic, loop resistance, primary and secondary direct resistance and the voltage transformer ratio, dielectric loss, insulation resistance and the like, after being connected with the power transformer, the intelligent interface matrix automatically identifies the power transformer type by monitoring the voltage, current and other signals in the test in real time, switches the multiple adjustable test interface units stably and safely according to the predetermined test sequence of different types of transformers in the high-voltage and large-current environment, efficiently and quickly completes all test wiring work, significantly reduces the manual intervention, and effectively improves the test safety, reliability and overall work efficiency.

Techniques for implementing task inference using an AI interface are disclosed. In an example method, a computing system receives, from a first client device, a first chat message. The computing system determines, using a language model, a task based on the first chat message, the task including one or more executable instructions. The computing system outputs, to the first client device, information about the task. The computing system receives, from the first client device, a first indication to perform the task. The computing system outputs one or more commands to cause an execution of the one or more executable instructions of the task and a generation of a task output. The computing system outputs, to the first client device, the task output.

The invention discloses an intelligent image processing system and method based on an FPGA, and relates to the technical field of image processing. The system comprises an intelligent interface adaptation module used for converting image data of different interfaces into video streams in a unified format; the scene self-adaptive binding engine is used for dynamically determining the binding relationship between the video stream and the processing module and the data bit width of the video bus according to the processing task and the state of each module; and the AHB bus control module is used for configuring the bit width of the video bus according to the decision and sending configuration information to the processing module. According to the invention, plug-and-play access of a multi-source heterogeneous image, dynamic intelligent reconstruction of a processing assembly line and online optimization of bus parameters are realized, and the flexibility, the resource utilization rate and the overall performance of the system are remarkably improved.

What is being envisaged is an information processing device capable of assessing the cause of a phenomenon based on an event described in a sentence. The information processing device comprises a question input unit into which a question inquiring about the cause of a phenomenon is entered, an artificial intelligence interface unit that inputs a group of sentences specifying causal relationships between events and the question entered into the question input unit into a large language model and that captures an answer to the question from the large language model, and an output unit that outputs the answer captured by the artificial intelligence interface unit.

This application provides a control method and an electronic device. According to the method, efficient intelligent interface display that meets user requirements and habits can be provided for a user in a multi-task scenario. In this application, when receiving an operation performed by the user for interface transfer, an electronic device like an in-vehicle terminal determines, by analyzing a specific intention of the operation, whether to perform cross-screen transfer or one-screen transfer, to provide a better intelligent interface display service for the user. For example, when it is determined that the intention is to perform the cross-screen transfer, based on an actual display situation before transfer of a first interface and / or an interface display situation on a second screen, an interface transferred from an original screen may be displayed on a target screen in an appropriate display type after the transfer. According to this method, a current focused task on the target screen is not interrupted, and a task interface transferred from the original screen is displayed with an eye-catching display effect. This provides the user with more user-friendly interface transfer experience.

A touch feedback man-machine interaction method comprises the steps that an electric signal of a contact interface and an induction electric signal of a press-down interface are coupled to serve as a judgment basis for judging the true intention of a user to operate an intelligent interface, when it is judged that the intention of the user to control equipment is true, touch information is transmitted to a main control system, and the main control system responds according to the intention of the user; and displaying a corresponding result on an interface. According to the method provided by the invention, through a signal sensing and information feedback mechanism, the real intention of the user to operate the intelligent interface is judged, and the feedback information is provided for the user. Therefore, the experience of contact control is improved, the touch feedback of the user in the interaction process of the intelligent interface is enhanced, the situation that the user accidentally touches the intelligent interface and mistakenly starts the equipment function is avoided, and the experience feeling and reliability of human-computer interaction of the user are enhanced.

The invention relates to the technical field of computers, and discloses an interface management method and device based on a micro-service dependency relationship, equipment and a medium, repeated work and errors are avoided by constructing a service calling link map and determining a progressive relationship of each service, and the efficiency is improved; the service interfaces are marked according to the progressive relationship, so that each service position and the corresponding API can be accurately identified, the marked information is more accurate and complete, repetition and errors during generation of external interface information are reduced, and the efficiency is further improved; when the generation triggering condition of the external interface is triggered, the external interface information is automatically generated by utilizing the mark information, so that the automatic generation of the external interface is realized, the time cost of manual operation is reduced, and the information generation accuracy and generation efficiency of the external interface are improved; and the application requirements of micro-service architecture in financial and medical systems on automatic and intelligent interface management in a large-scale and complex environment are met.

The embodiment of the present application provides a method for constructing a hardware abstraction layer of a chip platform, the method comprising: scanning the hardware feature information of the chip platform, constructing a hardware feature analysis model, classifying and annotating the hardware feature information to extract device interfaces, resource attributes and operation features, establishing a feature vector library of hardware components, and using a hierarchical clustering algorithm to group the hardware components to form a function category tree; training an adaptive abstract model based on the function category tree, mapping hardware components with similar functions to a unified interface space, calculating the target Q value based on a temporal difference algorithm to update the strategy network parameters to generate a hardware abstraction rule library; loading the hardware abstraction rule library in a hardware abstraction layer engine, dynamically monitoring resource usage status and updating allocation strategies, and returning hardware operation results to the application layer through a unified interface; the present application can deeply understand hardware features, construct an intelligent interface encapsulation strategy, and realize efficient resource scheduling through technologies such as reinforcement learning.

The invention discloses an intelligent interface switching method based on multi-dimensional perception, and belongs to the field of electric digital data processing, and the method comprises the steps: obtaining equipment data, network data and user data to obtain standard vector information; obtaining high-precision position information based on the standard vector information, and obtaining at least one candidate interface based on the high-precision position information, the current interface metadata and a preset position formula; obtaining at least one dynamic interface based on a time sequence prediction algorithm, the historical track information, the current interface metadata and the candidate interface; and obtaining interface dynamic data in real time based on the main interface and the plurality of standby interfaces, obtaining a dynamic evaluation score based on the interface dynamic data, and executing an intelligent switching action according to the dynamic evaluation score. Therefore, by implementing the method and the device, the problem that a uniform interface cannot meet the performance and compliance requirements of super-large-scale and cross-region questions and answers in the prior art can be solved, and the switching of the main interface and the standby interface or the intelligent switching of different protocols can be realized.

Disclosed is an intelligent mechanism providing an electronic system with a customized and dynamically programmable user interface based on user or machine defined criteria.

This invention discloses an intelligent image processing system and method based on FPGA, belonging to the field of image processing technology. The system includes: an intelligent interface adaptation module for converting image data from different interfaces into a unified format video stream; a scene adaptive binding engine for dynamically determining the binding relationship between the video stream and the processing module, and the data bit width of the video bus, based on the processing task and the status of each module; and an AHB bus control module for configuring the video bus bit width according to decisions and sending configuration information to the processing module. This invention achieves plug-and-play access to multi-source heterogeneous images, dynamic intelligent reconstruction of the processing pipeline, and online optimization of bus parameters, significantly improving the system's flexibility, resource utilization, and overall performance.