66 results about "System interface" patented technology

The present application relates to the technical field of computer data processing, and especially relates to an intelligent agent system for automatically identifying, downloading and installing self-controllable peripherals, which comprises a device information acquisition module for collecting data to generate hardware identification data; a driver compatibility determination module for comparing a pre-stored self-controllable peripheral list to match a driver resource to generate a resource identification; a secure downloading module for establishing an encrypted connection to download a driver file, storing the driver file in an isolated sandbox after hash verification and digital certificate verification; a driver migration module for simulating a system call environment through an operating system compatibility layer in the driver migration module, and converting a driver instruction into a host system instruction by using a user-level binary translator in the driver migration module; and an automatic installation module for calling a system interface to deploy the driver and verifying an installation state. The present application realizes closed-loop automatic processing from identification to installation of a peripheral driver, and solves the problem of compatibility between a Linux system and a Windows driver.

Embodiments of the present application relate to the field of vehicle instrument interaction, and specifically provide a two-wheeled electric vehicle vehicle instrument interaction method, an electronic device and a storage medium. The method comprises: receiving interaction information from a user; calling at least one function module corresponding to the interaction information and / or vehicle event information of the two-wheeled electric vehicle, generating corresponding task instructions according to the interaction information and / or the vehicle event information, the function modules communicating through a preset standard interface, and the function modules being independent business service units; based on the task instructions, calling a basic software service through a preset system interface to perform a task operation corresponding to the task instructions, obtaining corresponding execution result information; and outputting the execution result information to the user. The stability and maintainability of the two-wheeled electric vehicle vehicle instrument system are improved.

This application provides a task data sharing method and electronic device, relating to the field of communication technology. The method displays and shares data on the system interface of the first target system interface of the first electronic device and the second target system interface of the second electronic device, realizing system-level display and sharing of application data. It eliminates the need for full operation within the application, simplifies the operation, and provides a better user experience.

The application discloses an intelligent man-machine interaction method based on voice recognition and interface analysis, comprising the following steps: analyzing a current application program graphical user interface through an operating system interface or a background service, recognizing target controls in the interface and coordinate positions of the controls on a screen; establishing a mapping relationship based on spatial layout relationships and hierarchical structures of the controls; receiving a user voice instruction, performing voice recognition and semantic analysis to recognize a target identifier and operation content; and simulating input device action to operate the target controls according to an analysis result. The application can understand interface semantics, accurately map voice instructions to specific interface elements, realize deep cooperation between voice and interface control, and provide a more convenient computer operation mode for people with physical disabilities, thus having positive social and economic benefits.

This invention provides a human-machine collaborative method and system for short- and medium-term hydrological forecasting enhanced by a large language model, relating to the fields of hydrological forecasting and artificial intelligence. The method includes the following steps: constructing a hydrological forecasting knowledge base for the target watershed; obtaining natural language forecasting requirements and generating structured forecasting task descriptions; recommending solutions and completing parameters based on the knowledge base; executing business rule constraints and verifying solutions; calling the short- and medium-term hydrological forecasting system to perform forecast calculations; and intelligently interpreting forecast results and accumulating experience. The system includes six modules: user interaction, large language model interaction, hydrological forecasting knowledge base, business rule engine, system interface calls, data storage, and logs. Without changing the core architecture of existing short- and medium-term hydrological forecasting systems, this invention introduces a large language model to achieve semantic parsing of forecasting tasks, intelligent construction of forecasting solutions, and intelligent interpretation of forecast results, lowering the system's usage threshold and improving the interpretability of forecast results and the structured reusability of forecasting experience.

To provide methods and apparatus for dynamic and personalized user experiences. [Solution] A method for a dynamic and personalized user experience includes a UI engine receiving a request from a user account to access a system interface for the system, and identifying a user account personality from a plurality of user account personalities based on personality indicators for the user account. Each personality indicator is associated with at least one of the plurality of user account personalities. The method also includes reconfiguring the system interface based on the identified user account personality, presenting the reconfigured system interface to the user of the user account, and granting the user account access to the reconfigured system interface.

The application discloses an interactive control method and system of an industrial vision system, and relates to the technical field of data analysis.The method comprises the following steps: preprocessing user request information; performing intention analysis on the preprocessed user request information based on a structured knowledge base; matching a corresponding core function module based on intention analysis information to determine instruction information, and performing standardization processing on the instruction information based on a parameter name mapping; issuing the standardized instruction information to the industrial vision system for execution based on a system interfacing layer; in the execution process, acquiring execution state data and execution effect data of the industrial vision system in real time for visual processing, and storing the visual data and the intention analysis information into a data storage layer.The application realizes full-process automatic execution of data collection-analysis-visual data generation, and realizes intelligent interaction of the industrial vision system.

This invention relates to the field of computer system interface technology, and discloses an interface verification method, system, and program product based on script hot updates. By writing the custom verification logic of third-party tenants into scripts and storing them in a configuration center, the verification logic is decoupled from the gateway. When the script changes, the modified target script is retrieved, achieving real-time awareness and automatic response to changes in verification logic. The target script is instantiated to obtain a target script object and cached in virtual machine memory. When a first request is received from a third-party tenant to the first gateway, the target script object is directly retrieved from the virtual machine memory and the encapsulated custom verification logic is executed, ensuring that the verification logic of different tenants is isolated and executed independently. This solves the problems of low expansion efficiency, poor performance, and mutual interference between tenants caused by the need to modify core code and restart deployment when adding new tenants or changing verification logic in open application programming interface platforms.

This invention relates to the field of system interface technology, specifically to a non-intrusive interface software system interface implementation method, comprising the following steps: S1: Implementing non-intrusive API middleware by defining a middleware constructor or adding injection points to the interface methods of an object. This invention achieves data interaction through non-intrusive API middleware, protecting the stability and integrity of existing software. It avoids directly modifying the source code of existing software, thereby protecting its stability and integrity, reducing the risks that may be introduced by directly modifying the source code, preventing the introduction of new errors or damage to existing functions. Furthermore, using non-intrusive API middleware allows for faster integration and extension of existing software, accelerating development and deployment, reducing the complexity of integration and extension. Simultaneously, by introducing a middleware layer, existing software and external systems can evolve independently without affecting each other, achieving better usability.

This application discloses a method, apparatus, vehicle, and storage medium for calculating sleep duration. The solution includes: acquiring and recording timestamps according to a preset cycle while the controller is running; calculating the time interval between the two most recent timestamps; and calculating the sleep duration of the controller based on the time interval and the preset cycle. This solution enables application-layer programs to autonomously calculate sleep duration without relying on external hardware, communication resources, or low-level permissions, solely through their own accessible system clock and timing mechanism, thus improving reliability. Furthermore, this solution requires no additional hardware, reducing costs; it only performs a simple difference calculation after the controller wakes up, minimizing resource overhead; and its core logic does not depend on specific hardware or low-level system interfaces, facilitating portability and deployment on different vehicle ECU platforms.

This application relates to the field of page development technology, and in particular to a method, apparatus, and electronic device for generating an interface. The method includes determining first display parameters of a system-preset first interface when a first target requirement is obtained; after determining the first display parameters, obtaining difference parameters corresponding to the first target requirement; and then generating a second interface that meets the first target requirement based on the difference parameters and the first display parameters. Based on this method, the same interface in the system can be quickly and flexibly switched and configured, meeting the different business needs of different target objects in different scenarios. This solves the problems of huge workload and cumbersome later maintenance work in existing technologies due to repetitive system development, effectively reducing the time and human resources spent configuring system interfaces.

This invention discloses a system interface rendering apparatus, method, and storage medium. The apparatus includes: a device capability perception module, which acquires the hardware parameters of each device in a constructed collaborative network and classifies the rendering capability level of each device accordingly; a user behavior prediction module, which trains an LSTM neural network based on collected historical interaction data and behavior data to generate a personalized prediction model; real-time behavior acquisition and prediction, which inputs real-time user current operation data into the personalized prediction model and outputs the target device, the system interface components to be rendered, and the minimum rendering accuracy requirements within a preset future time; a dynamic rendering strategy generation module, which generates and executes rendering strategies; and a synchronization control module, which ensures synchronized display of rendering frames from multiple devices through a preset synchronization mechanism. Its advantages are: this invention can adapt to the hardware differences of multiple devices, proactively predict user collaborative interaction needs, and establish a dynamic resource allocation mechanism based on device capability classification.

The application provides a sports registration management method and system based on full-process log tracking and cross-system interface adaptation, which generates a structured space-time semantic anchor point set by collecting real-time multi-source low-overhead signals including IP geolocation, client clock offset, network delay sequence and form operation events, combining with the International Olympic Committee venue geofencing and event plan; the anchor point set is linked with a preset permission rule library to realize millisecond-level consistency check and dynamic allocation of permission change requests; the system has concurrent conflict detection, rule priority arbitration and real-time degradation processing capabilities, and supports cross-system exception tracking and dynamic optimization of rule parameters, which improves the security, consistency and real-time performance of permission adjudication, and meets the stringent requirements of high-concurrency registration business.

A computer-implemented method for extending a first JavaScript runtime is disclosed. A WebAssembly (Wasm) interpreter is embedded within the first JavaScript runtime based on integrating, in the first JavaScript runtime a runtime component and a Wasm interpreter manager. The runtime component implements, at least, a memory allocator configured to manage a memory space that is mutually accessible by Wasm and JavaScript and a WebAssembly System Interface (WASI) -compliant Wasm runtime. The Wasm interpreter manager is configured to track compiled Wasm modules and instantiated Wasm modules.

The application discloses a kind of based on multistage ASR cooperation's reproductive cycle of promoting and recording device and method, it is related to medical information and artificial intelligence cross technical field, including interface learning module, adaptive learning module, context management module, user interaction module, core configuration module, voice wake-up module, voice recognition module, instruction set model, free text model, text proofreading module and interface operation module;The present application overcomes the existing medical record system in the monitoring of assisted reproductive ovulation cycle The deficiencies of low voice input efficiency, high cost of third-party system integration, lack of context memory and adaptive learning ability, with the ability of collaborative processing multiple types of voice input, AI dynamically adapts heterogeneous system interface, context memory and adaptive learning.

1. The name of the design product: graphical user interface of intelligent pig farm feeding system control interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for the display and interaction of the intelligent pig farm feeding system visual large screen login interface, and different interfaces are displayed according to the operation of the user. 6. The human-computer interaction mode of the graphical user interface: the graphical user interface of the front view is the system control interface of the intelligent pig farm feeding system interface, in the interface of the front view, all control nodes, tank weight, temperature, gas source pressure and other information in the whole feeding process are intuitively displayed in the view mode, and the working conditions of the equipment or valves can be manually clicked to view. After clicking the "start" button in the lower left corner, the interface jumps to the interface of the change state diagram; the running conditions of the current control points in the whole process can be seen in the main area on the right side of the interface of the change state diagram, and the current feeding state is displayed in real time in the status bar in the lower right corner of the interface.

Described herein is a partitional graphics processor including a display controller including hardware display virtualization. One embodiment provides a graphics processor comprising a system interface including a first virtual interface and a second virtual interface, a render engine to perform graphics rendering operations, and a display engine including hardware display virtualization. The render engine is configured to perform a first rendering operation in response to a command received via the first virtual interface and a second rendering operation in response to a command received via the second virtual interface. The display engine configured to present output of the first rendering operation via a first physical display plane that is associated with the first virtual interface and present output of the second rendering operation via a second physical display plane that is associated with the second virtual interface.

This application discloses a system switching method, apparatus, electronic device, storage medium, and program product, relating to the field of human-computer interaction. The method is used in an electronic device that supports the operation of a first system and a second system. The method includes: during the startup of the second system, the first system or the second system displays a startup animation corresponding to the current startup scenario. Different startup scenarios correspond to different startup animations. Startup scenarios include a power-on scenario and a first mode switching scenario. The first mode switching scenario is a scenario where the system switches from a first working mode to a second working mode. In the first working mode, the first system runs, and the second system does not run. In the second working mode, the first system and the second system operate collaboratively. Upon completion of the second system startup, the first system or the second system displays a system interface. Using the method provided in this application, confusion between the startup animations in the power-on scenario and the first mode switching scenario can be avoided.

This invention relates to a method for identifying hot words in customer conversations based on large-scale model technology. The identification method is as follows: model training and construction; users upload batches of historical conversation texts or access conversation streams in real time through the system interface; the system automatically segments the input text into sentences, labels roles, and unifies the encoding format; the trained model processes the preprocessed conversation text; conversation summaries are generated based on hot word graphs; and the results are visualized and output. Compared with existing technologies, this invention achieves accurate identification and classification of the deep meaning of hot words through a multi-dimensional tagging system and semantic understanding; it couples hot word identification and summary generation through multi-task learning and semantic graphs, making the generated summaries both focused and coherent; it supports automated and intelligent analysis of massive conversation data, greatly improving the efficiency and depth of customer sentiment analysis, and providing direct data support for product optimization, service improvement, and risk warning.

This invention relates to the field of embedded development technology, and more particularly to a layered embedded software architecture system. The system, from top to bottom, includes an application layer, a system interface layer, a real-time kernel layer, and a hardware layer. The application layer is electrically connected to external multimedia devices and calls the corresponding interface of the system interface layer according to the type of multimedia device. The system interface layer includes multiple types of interfaces for acquiring data from the multimedia device and transmitting it to the real-time kernel layer. The real-time kernel layer calls the corresponding operating system based on the input data, schedules the running processes and tasks of each operating system, and allocates the storage space in the connected hardware layer to each running process according to a preset. The hardware layer includes multiple memory registers and corresponding memory register interfaces, which are connected to the real-time kernel layer. This layered structure significantly reduces the coupling of the software system, which is beneficial for improving software development efficiency and shortening the software development cycle.

The application discloses an interface traffic enhancement method and system based on model decision, and the method comprises the following steps: setting a data collection node to collect multi-dimensional feature data of a target interface; preprocessing the multi-dimensional feature data and inputting the processed data into a pre-trained decision model, so that the decision model generates business importance level and cache decision information of the target interface; the cache decision information generates a control instruction to instruct a cache management module to perform a cache operation; real-time access state and system resource load of the target interface are acquired, and the cache decision information is updated according to the real-time access state and the system resource load, so as to coordinate cache resource and system resource allocation and realize interface traffic enhancement. The application dynamically optimizes cache management by introducing a model decision mechanism, solves the problems of limited cache capacity and insufficient resource utilization of a traditional cache scheme in a high-concurrency interface scene, and realizes enhancement of interface traffic.

The embodiment of the specification provides a model training sample generation method and device, a computer readable storage medium, an electronic equipment and a computer program product, the method comprises: in the case of triggering a sample generation task, determining a target strategy from a first sample generation strategy and a second sample generation strategy, wherein the first sample generation strategy comprises obtaining a training sample from samples generated by user interaction with a system interface within a preset time window based on user interaction behavior with the system interface, the system interface is a homepage interface containing commodity recommendation content, the second sample generation strategy comprises obtaining a training sample from samples recalled by the system based on sample scores, the samples recalled by the system include samples generated after a recommended commodity displayed by the system interface in the past is clicked, and samples generated after a recommended commodity displayed by the system interface in the past is not clicked; generating a training sample set for commodity recommendation model training based on the target strategy.

This invention relates to the field of satellite simulation and testing technology, specifically to a multi-satellite parallel testing system for attitude and orbit control systems. The system includes a signal transfer unit subsystem, an I / O interface subsystem, a multi-core real-time simulator subsystem, a real-time simulation main control subsystem, a database server subsystem, and a power supply module subsystem. The multi-core real-time simulator connects to multiple I / O interface chassis via PCIe expansion components, with each chassis corresponding to the test resources of one satellite. The real-time simulation main control subsystem deploys the dynamic simulation models of multiple satellites onto different processor cores of the simulator, achieving multi-core distributed parallel simulation. Each satellite's onboard computer establishes a real-time data interaction link with its corresponding dynamic simulation model, forming a multi-satellite parallel real-time closed-loop testing state. This system solves the problem that traditional single-satellite testing systems cannot meet the requirements of mass production and parallel testing, offering advantages such as high testing efficiency, low hardware cost, and strong scalability.

The application discloses a design method and device of a satellite control software general architecture. The method comprises the following steps: establishing a satellite control software layered architecture, the layered architecture comprising a computer interface abstraction layer, an operating system interface abstraction layer, a component interface abstraction layer, a core service layer and a model application layer arranged in sequence from bottom to top; constructing the computer interface abstraction layer to uniformly encapsulate the differences between different processor architectures; constructing the operating system interface abstraction layer to uniformly encapsulate the differences between different operating systems; constructing the component interface abstraction layer to uniformly encapsulate the differences between different devices; constructing the core service layer to form general functions on the basis of the computer interface abstraction layer, the operating system interface abstraction layer and the component interface abstraction layer; and constructing the model application layer to select the general functions in the core service layer for the target satellite model, to parameterize the configuration items, and to extend the model-specific functions. The application can effectively improve the cross-platform reuse capability, development efficiency and quality consistency of the software.

This application relates to the field of industrial Internet of Things (IIoT) data processing technology, and discloses a supply chain resource allocation optimization method and system based on multi-source heterogeneous data fusion. The method includes: parallelly collecting structured data and unstructured documents from supplier production systems through a data acquisition agent deployed at the edge and an unstructured document parsing module based on named entity recognition; generating a standardized activity data list after data verification; generating carbon emission and resource consumption characteristic parameters based on a phased quantitative calculation framework and a resource consumption mapping model; constructing a multi-dimensional feature matrix and identifying optimization boundaries; automatically solving the optimal allocation scheme under preset constraints using a mixed-integer linear programming model, and converting it into control commands for output through the system interface. This application achieves an automated closed loop from heterogeneous data perception to material flow control, improving the response speed and accuracy of resource allocation.