31 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 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.

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 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.

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.

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.

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 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.

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.

The application provides a computer algorithm processing method and device, and relates to the technical field of computers. The application utilizes the powerful semantic understanding and generation capability of a large model, combines retrieval enhancement generation, code generation, test configuration generation, cloud computing, automated testing and intelligent correction technology, and through a large model related to retrieval enhancement generation, unified expression, intelligent interface mapping and adaptive program generation, standardized test configuration generation, intelligent test feedback and correction, realizes an end-to-end automated process from algorithm original description materials including multi-source original data and algorithm text description documents to adaptive codes running efficiently and stably on a target cloud platform, significantly reduces the complexity, error rate and time cost of algorithm integration, deployment and operation, and has low dependence on manpower.

Systems, methods, and devices including smart interfaces with facilitated input and mistake recovery are described. For example, a smart interface system can identify one or more portions of user input as alterable decisions, and, for each of the one or more alterable decisions, store, in a memory, information about one or more alternative options for the alterable decision. The system can also identify one of the alterable decisions as the currently alterable decision, and upon receiving an input indicative of an actuation of the alteration key, alter the currently alterable decision to another of the one or more alternative options based on the stored information.

The invention relates to the technical field of power data management, and discloses a power data management method and system based on an RPA robot. The method comprises the steps that an RPA robot simulates manual operation, and tasks such as collection, arrangement, analysis and report generation of electric power data are automatically completed. According to the method and the system, an adaptive data acquisition algorithm, a data association integration algorithm, an intelligent task scheduling algorithm, a complex event processing algorithm and an intelligent interface adaptation algorithm are specially designed, so that the accuracy, the efficiency and the intelligent level of data processing are improved. According to the technical scheme, the efficiency, accuracy and timeliness of power data management can be effectively improved, the working quality and efficiency are improved, burden reduction and efficiency improvement of a basic level are assisted, and digital transformation of the power industry is promoted.

Methods and systems for providing multipath connectivity intelligence is disclosed. The system may include one or more processors; and a memory storing instructions that cause the one or more processors to perform the steps comprising: connecting, by an intelligence interface, an agent to an intelligence service, transmitting, by the intelligence interface, information associated with the agent to the intelligence service, and receiving, by the intelligence interface, one or more connectivity options associated with the agent from the intelligence service. The agent may be a logical entity comprising one or more functions configured to manage multipath connectivity, and the one or more connectivity options may be used by one or more networks or one or more device functions for multipath management and scheduling.

This invention discloses a configuration method, storage medium, and terminal for an intelligent interface. The method involves collecting interface packets from a target software system and obtaining the interface definition information of each interface within the packet. Responding to the requirements of the target function, the method decomposes the target function based on the interface definition information and constructs a functional structure tree. Based on the interface definition information, a parameter rule tree is constructed at different levels of the functional structure tree. According to the functional structure tree, at least one interface call path for implementing the target function is generated. Corresponding interface context information is configured for each interface call path. Based on the parameter rule tree and the interface context information, the interface call path with the lowest overall execution time is selected as the target path for implementing the target function. This invention enables unified configuration of interfaces at both the structural and call rule levels, allowing the same target function to have multiple optional implementation methods in different operating scenarios, thereby improving the flexibility of interface calls and overall execution efficiency.

The invention discloses an educational resource sharing and collaboration platform system based on cloud computing, and belongs to the field of resource sharing. The system is realized through a resource acquisition and uploading module, a cloud storage management module, a user management module, a collaborative editing management module, an intelligent interface service module, a dynamic load balancing module, a copyright protection and traceability module and a data analysis and recommendation module. According to the method, based on the block chain modification evidence storage and frequency domain feature point watermark embedding technology, it is ensured that resources are clear in ownership and traceable in multi-person cooperation, the copyright chaos problem of'right confirmation by editing 'of a traditional platform is thoroughly solved, and therefore the effect of collaborative editing and copyright protection linkage is achieved. And a real-time paragraph locking and non-conflict content automatic merging mechanism ensures the fluency of multi-user cooperation and avoids data loss caused by version rollback. Containerized task packaging and mirror image preloading tool chains realize on-demand allocation and automatic recovery of computing resources, and the response efficiency of high-concurrency scenes is remarkably improved.

The application relates to a system for realizing R&D acceptance full-process cooperation based on a large model, which comprises a requirement and design analysis module, information extraction and classification, business process drawing, application interaction and logical architecture design drawing; a code auxiliary generation module, automatic interface matching based on interface protocol specifications, intelligent interface calling code and development framework generation; a dynamic interface debugging module, realizing automatic filling and rapid debugging of interface parameters; and an intelligent acceptance test module, performing case quality inspection to output an analytical suggestion report and constructing an automatic RPA test process. The system and method for realizing R&D acceptance full-process cooperation based on a large model have the advantages that through closed-loop monitoring, detection, repair and prevention measures, the software supply chain full-process is strictly and safely managed from end to end. Meanwhile, through visual means, management personnel can intuitively understand the safety state and risk distribution of the software, and the efficiency and accuracy of software governance are improved.

An interaction method implemented by a terminal apparatus includes: obtaining an interface underlayer of a space that has direction information and distance information; establishing a mapping relationship between an external device and an identification corresponding to the external device marked on the interface underlayer, the identification indicating a physical location of the external device; receiving, from the external device, property information of the external device; obtaining an image of a real scene in the space; determining that a target object is depicted in the image of the real scene; determining target presentation information of the target object according to the property information of the external device; and displaying the image of the real scene together with the target presentation information, the target presentation information being added to the image as an augmented reality (AR) mark at an image location corresponding to the target object.

The present invention relates to an intelligent interaction system based on physical context recognition. Regarding the target interaction device (100) worn by a user and It includes a content providing device (200). The target interaction device (100) includes a camera (111), a distance sensor (112), The inertial measurement unit (113), the eye tracking module (115), and the environment sensor (116) A sensor module (110) including the user's physical context is provided. It detects in real time. The input processing unit (120) detects the acquired multilayer Fusion of context information generates an integrated context vector. The control unit (220) of the content providing device (200) is a target confirmation unit (221), Distance-based adaptive gesture recognition unit (223), target-based interactive Content creation unit (224), MCP-based multi-agent integration unit (225), and It includes an intention configuration engine (228). The key feature is the 5-step physical distance between the user and the target. Classified into ranges (ultra-contact, ultra-close, short range, medium range, long range), and Attributing different meanings to the same gesture depending on the distance interval It performs distance-based adaptive gesture interpretation. In addition, prioritize searching for UGC on the user-participatory content platform (500) and Hybrid content sourcing that calls generative AI only when insufficient Applying the strategy and linking with the extended self DB server (300) Continuously while protecting privacy through federated learning It provides an evolving intelligent interaction system. This invention is applicable to various fields such as education, medical, manufacturing, retail, and smart homes. It is applicable to various fields, and allows users to interact naturally with real-world objects Access digital information and services while interacting intuitively Realizes a next-generation interface capable of

The invention provides a computer algorithm processing method and device, and relates to the technical field of computers. According to the method, the powerful semantic comprehension and generation capability of a large model is utilized, and the technologies of retrieval enhancement generation, code generation, test configuration generation, cloud computing, automatic test and intelligent correction are combined; through retrieval enhancement generation, unified expression, intelligent interface mapping and adaptive program generation, standardized test configuration generation, and intelligent test feedback and correction related large models, algorithm original description materials including multi-source original data and algorithm text description documents are converted into multi-source original data and algorithm text description documents. Through the end-to-end automatic process of the adaptive codes efficiently and stably running on the target cloud platform, the complexity, the error rate and the time cost of algorithm integration, deployment and operation and maintenance are remarkably reduced, and the degree of dependence on manpower is low.

The invention discloses a non-intrusive business process processing method and device, a storage medium and electronic equipment, relates to the technical field of artificial intelligence, and mainly aims at improving the universality and accuracy of a robot process automatic processing scheme. Carrying out step splitting processing on the business process configuration information to obtain business process operation steps; performing script design processing based on the sequence of the business process operation steps to obtain a business process script; the business process script at least calls one cross-platform compatible functional service module; the function service module comprises an intelligent interface operation service module, a window management service module, a computer vision processing service module and a high-precision text recognition service module; and issuing the business process script to an executor, so that the executor automatically executes the business process according to the sequence of the business process operation steps in the business process script.

The application discloses a kind of intelligent interface switching regulation method and system for multifunctional interface, belong to interface management technical field.The interface layout of display control equipment is imported, interface component frame position point and interface switching trigger point are marked and structured switching path set is generated;Interface state matrix is constructed based on path set, and time sequence characteristic matrix is formed by combining synchronous time sequence set configuration;Quantification component is called degree by similarity of current and historical time sequence characteristic matrix, and according to the threshold value of called degree, trigger intelligent cache or cleaning operation.The application solves the problem of slow response and high memory occupation of existing multifunctional interface switching, especially suitable for oxygen generator and other display control equipment that need precise operation, can improve the efficiency of commonly used interface switching, and ensure the timeliness and equipment running stability of emergency operation.

The invention discloses an intelligent interface switching adjustment method and system for a multifunctional interface, and belongs to the technical field of interface management. The method comprises the following steps: marking an interface component frame position point and an interface switching trigger point and generating a structured switching path set by importing an interface layout diagram of display control equipment; constructing an interface state matrix based on the path set, and forming a time sequence characteristic matrix in combination with synchronous time sequence set configuration; and quantifying the component calling degree through the similarity between the current time sequence feature matrix and the historical time sequence feature matrix, and triggering intelligent caching or clearing operation according to a calling degree threshold value. The problems that an existing multifunctional interface is slow in switching response and high in memory occupation are solved, the method is particularly suitable for display control equipment such as an oxygen generator needing accurate operation, the common interface switching efficiency can be improved, and the timeliness of emergency operation and the equipment operation stability are guaranteed.

This application provides a control method and electronic device. This method can provide users with an efficient and intelligent interface display that meets their needs and habits in multi-tasking scenarios. In this application, when an electronic device, such as an in-vehicle terminal, receives a user's operation for interface transition, it analyzes the specific intent of the operation to determine whether it is a cross-screen transition or a same-screen transition, thus providing the user with a better intelligent interface display service. For example, if the intent is determined to be a cross-screen transition, the interface transitioning from the original screen can be displayed on the target screen with an appropriate display type after the transition, based on the actual display situation before the first interface transition and / or the interface display situation on the second screen. This method can balance not interrupting the target screen's current focused task and displaying the task interface transitioning from the original screen with a prominent display effect, providing users with a more user-friendly interface transition experience.