2202results about "Software engineering" patented technology

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) using a gateway router that dynamically coordinates the agents based on prompt characteristics, user context, and / or real-time operational factors. Received inputs (e.g., prompts) are segmented into subcomponents (e.g., sub-queries), which are routed / mapped to candidate agents based on the output parameters of the subcomponent (e.g., performance thresholds, cost thresholds) and operational parameters (e.g., cost, performance metric values, user access restrictions, timing restrictions) of each agent. The gateway router maintains dynamic routing data structures for each agent that are continuously updated based on environmental stimuli (e.g., geo-political stimuli, sensor stimuli, agent stimuli). For example, the gateway router causes agents to dynamically switch between rule engines identified by the routing tables in response to detecting environmental stimuli. Responses from the candidate agents are aggregated into an output that is responsive to the input.

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) responsive to a received query by using a hierarchical model cascade to classify queries into agent domains. Queries are processed iteratively by a series of hierarchical levels containing one or more AI models, where each layer is more complex and imposes fewer resource constraints. Each level generates a classification and a confidence score pertaining to the classification. A dynamic bypass mechanism analyzes the classifications and confidence scores at each level to dynamically determine if one or more levels of the hierarchy can be bypassed while resulting in an accurate classification. The final classifications are matched to one or more agents that process the query. Responses from the candidate agents are aggregated into an output that is responsive to the input.

The invention discloses an SQL (Structured Query Language) statement generation method and equipment based on a natural language and a medium, and the method comprises the following steps: constructing an RAG knowledge base and a data table knowledge graph of a project, then obtaining a to-be-converted natural language of the project, and performing keyword retrieval on the natural language through the RAG knowledge base to obtain an association table set; performing graph traversal on the natural language through the data table knowledge graph to obtain an associated node set; packaging the screening condition of the natural language to be converted, the association table set and the association node set to generate a context knowledge base of the natural language; and finally, according to the context knowledge base and the semantic conversion model, obtaining an SQL statement of a natural language. The problem of low efficiency of multi-table association path discovery is solved by constructing a dynamic extensible database relationship graph; a unified retrieval enhancement mechanism for the RAG knowledge base, the extensible knowledge graph and the historical query features is established, and the problem that target context retrieval is low in efficiency is solved.

In some implementations, the techniques described herein relate to a method including: receiving, by a processor, a natural language instruction from a client device, the natural language instruction describing a task utilizing a software application; generating, by the processor, a user interface action representing the natural language instruction, the user interface action generated by a large language model responsive to an input prompt; executing, by the processor, the user interface action within the software application; and transmitting, by the processor, a result of executing the user interface action to the client device.

The invention discloses an AI-based digital media interface design optimization method, and relates to the technical field of interface design, and the method comprises the following steps: collecting multi-modal interaction input data of a user in real time, and constructing a user behavior sequence tensor with multiple time steps and multi-modal interaction dimensions; carrying out joint modeling on the user focus state vector, the user behavior sequence tensor and the user real-time feedback vector; generating a recommended new layout scheme based on an output result of the interactive intention weight model; when the probability is higher than a preset threshold value, triggering an interface pushing mechanism; after the interface is rearranged, data are fed back according to subsequent interaction behaviors and feedback data of the user; the technical problem that the layout or position of the interface element cannot be dynamically adjusted according to the behavior of the user in the traditional interface design is solved.

The invention discloses a webpage 3D rendering and control method, which comprises the following steps: step 1, asynchronous resource loading and scene initialization: carrying out network-aware asynchronous resource loading by adopting an intelligent prediction driven block loading technology, optimizing memory occupation through a self-adaptive space block and LRU cache strategy, and carrying out scene initialization; meanwhile, constructing a hierarchical scene tree to manage object transformation and a bounding box; and step 2, dynamic rendering pipeline execution: deploying a hierarchical visual degradation engine, dynamically switching multiple effects of soft shadow / PCF hard shadow, SSR precision and I BL sampling based on a five-level frame rate threshold, combining a PBR material adaptive rendering and motion perception LOD system, performing seamless detail level switching through normal reservation simplification, GPU-driven Morph transition and an asynchronous pre-calculation assembly line, and performing dynamic rendering on a dynamic rendering pipeline. The rendering optimization coordinator integrates the multi-dimensional parameters to generate a degradation instruction, and visual consistency is maintained; and step 3, user interaction and control feedback.

The invention provides a user interface generation method, electronic equipment, a vehicle and a storage medium, and relates to the field of artificial intelligence and large language model application, and the method comprises the following steps: constructing a cue word according to a natural language description input by a user, inputting the cue word into a preset large language model, controlling the large language model to perform knowledge base query analysis based on the cue word; querying the target knowledge base based on a query decision output by the large language model, and returning a knowledge base query result to the large language model, so that the large language model generates a user interface description for the cue word based on the knowledge base query result; a user interface is generated in the electronic device in accordance with the user interface description. A large language model and knowledge base collaborative interface generation mechanism is introduced, by means of real-time knowledge base query, it is avoided that the model generates a non-compliant interface due to illusion, it is ensured that the generated interface only contains functions and components actually supported by electronic equipment, and the intelligent level of man-machine interaction is improved.

The invention discloses a data acquisition method and device for an energy management system, equipment and a medium. The energy management system is used for managing multiple power plants. The method comprises the following steps: creating a to-be-constructed big data platform which comprises a data acquisition layer, a data processing layer and a data storage layer; deploying a multi-protocol adapter cluster on a data acquisition layer; constructing a data standardization pipeline in a data processing layer, and generating a multi-level security label in combination with a data source security level, a service association degree and an updating frequency; a hierarchical storage framework is designed in a data storage layer and used for constructing a redundant index table crossing storage nodes and a data blood relationship graph based on a graph database; and deploying a dynamic security gateway between the data acquisition layer and the data processing layer, dynamically selecting a corresponding encryption algorithm according to the data security label, and completing the construction of a big data platform, so as to complete the data acquisition of the plurality of power plants based on the big data platform. And high-reliability, traceable and safe data support is provided for cooperative management of multiple power plants.

The invention provides an automatic vulnerability identification and repair method for an intelligent universal domestic operating system, and belongs to the field of operating system security technology and artificial intelligence. EBPF (extended Burkley data packet filter), TEE (trusted execution environment) and bidirectional GNN-lite (simplified graph neural network) technologies are utilized to automatically identify and repair vulnerabilities of the operating system; an efficient, AI intelligent and safe vulnerability real-time identification and dynamic repair system is constructed, a closed loop of real-time monitoring, credible analysis, automatic patching and effect evaluation is established, and kernel defects are efficiently repaired on the premise of not interrupting services.

A task manager assigns configurations to task nodes, where the task nodes perform tasks in accordance with the configurations assigned to them. The task manager creates a record comprising a new configuration assigned to a task node, along with an identifier of that task node. The task manager adds these created records to a shared task configuration data structure. A task node accesses the shared task configuration data structure to look for new records with its identifier. The task node obtains a new record from the shared task configuration data structure, and analyzes the obtained new record to determine its assigned new configuration. The task node configures itself in accordance with the new configuration, without restarting the individual task node.

The invention provides a hot upgrade method for a virtual machine monitor (VMM), which comprises the following steps of: pausing the operation of a virtual machine, storing state information of an original VMM, and reserving a kernel-based virtual machine KVM extension page table and a memory management structure of the original VMM; reserving a page global directory and a virtual memory area VMA corresponding to a virtual machine RAM area according to the memory management structure, and refreshing a process address space described by the memory management structure into a new VMM execution program so as to complete switching of the original VMM into the new VMM; and executing the new VMM, recovering the state information to the new VMM, and inheriting the KVM extension page table by the new VMM to recover the operation of the virtual machine. The invention further provides computer equipment, a computer readable medium and a computer program product.

The invention relates to the technical field of private domain knowledge updating, and discloses an MCP protocol-oriented private domain knowledge dynamic updating method and system, which monitor the change of a private domain knowledge source in real time through an updating agent component, and calculate a hierarchical hash abstract to efficiently detect a change event. Once the change is found, the change is compared with the root hash which is successfully notified last time, and if the change is different from the root hash which is successfully notified last time, an update notification is sent to a knowledge update service component through an MCP protocol. And after confirming the root hash difference, the receiving end requests the increment message to obtain the specific change content. And then, the updating agent component accurately locates the changed knowledge unit, extracts an incremental data packet and transmits the incremental data packet to the knowledge updating service component for application through an MCP protocol. Therefore, not only are unnecessary network bandwidth and computing resource consumption greatly reduced, but also the real-time performance and accuracy of data updating are remarkably improved, and powerful support is provided for efficient decision making of enterprises.

A data storage device and method are provided for using a dynamic floating flash region to secure a firmware update. In one embodiment, a data storage device is provided comprising a first non-volatile memory, a second non-volatile memory, and a controller. The controller is configured to communicate with the first and second non-volatile memories and further configured to: determine addresses in the second non-volatile memory to store portions of a firmware update, wherein the addresses are determined on-the-fly as opposed to being predetermined; and store the portion of the firmware update in the addresses in the second non-volatile memory. Other embodiments are provided.

The invention relates to the technical field of interface interaction design, in particular to a GUI page element layout and typesetting optimization method and system based on artificial intelligence. The technical problems that a traditional GUI design mode is insufficient in GUI design flexibility, high in dynamic layout technical threshold, high in manual typesetting cost, limited in experience and unreasonable in resource allocation are solved. According to the technical scheme, the GUI page element layout and typesetting optimization system based on artificial intelligence comprises a natural language processing module, a context sensing module, an intelligent agent module, an interactive feedback optimization module and a cross-device adaptability module. Through the natural language processing technology, the user can describe the demand through the natural language, the system automatically identifies the natural language instruction, the layout and typesetting of the page elements are automatically completed by using the large language model and the intelligent agent, the GUI design efficiency is improved, the personalized display of the user interface is realized, and the user experience is improved.

A self-optimizing and self-programming computing system (SOSPCS) design framework that achieves both programmability and flexibility and exploits computing heterogeneity [e.g., CPUs, GPUs, and hardware accelerators (HWAs)] is provided. First, at compile time, a task pool consisting of hybrid tasks with different processing element (PE) affinities according to target applications is formed. Tasks preferred to be executed on GPUs or accelerators are detected from target applications by neural networks. Tasks suitable to run on CPUs are formed by community detection to minimize data movement overhead. Next, a distributed reinforcement learning-based approach is used at runtime to allow agents to map the tasks onto the network-on-chip-based heterogeneous PEs by learning an optimal policy based on Q values in the environment.

The invention discloses a multi-level front-end page layout and state linkage management method and a multi-level front-end page layout and state linkage management system, which belong to the technical field of front-end development, and are characterized in that page layout is configured in a declarative manner through a JSON (JavaScript Object Notation) format, and component states are automatically managed by adopting a multi-level linkage mechanism to realize front-end The JSON configuration comprises an id field definition business logic module identifier and a struct field definition layout rule; dynamic rendering and state linkage are realized by separating the business logic and the layout structure of the component and combining a hierarchical data binding mechanism; and the child hierarchy automatically triggers state emptying or data loading operation by monitoring data change of the parent hierarchy. According to the method, the problems of high page and logic coupling degree, complex state management and poor expansibility in the prior art can be solved, clear decoupling and automatic linkage are realized, and the method is easy to expand.

The invention relates to the technical field of monitoring and data acquisition systems, and discloses an SCADA (supervisory control and data acquisition) system based on a large language model, an implementation method and equipment, and the system comprises a user interaction terminal which receives a natural language instruction input by a user and displays a dynamic user interface; the natural language processing module is used for preliminarily analyzing the natural language instruction to obtain a user intention and key information; the large language model is used for deeply analyzing the user intention and the key information and generating a task description or a task execution plan; the MCP arrangement engine is used for mapping the task description or the task execution plan to a predefined function to obtain executable structured data; and the dynamic UI generator is used for generating a dynamic user interface based on the executable structured data and a preset UI instruction. According to the method, the usability and the data analysis capability of the SCADA system are improved through natural language interaction, and meanwhile, the reliability and the safety of the system are ensured by utilizing an MCP and a predefined function mechanism.

The invention provides a firmware upgrading method and device and a storage medium, the method is applied to a platform firmware recovery system, the system comprises a first processing module and a second processing module, and the method can be applied to the platform firmware recovery system. The method comprises the steps that a first processing module obtains an upgrading attribute parameter and to-be-upgraded firmware of at least one target system component; the first processing module processes all the to-be-upgraded firmware so as to store all the to-be-upgraded firmware to target storage partitions corresponding to all the target system components; wherein each storage partition corresponds to at least one system component; and the first processing module sends an upgrading instruction to the second processing module based on the upgrading attribute parameter, so that the second processing module flashes each firmware to be upgraded from the target storage partition to the firmware storage area of each target system component based on the upgrading attribute parameter by adopting a concurrent execution mode. Through the technical scheme of the invention, concurrent firmware upgrading of a plurality of system components can be realized.

The invention discloses an optimization method, system and device for an audio production test system and a storage medium, and relates to the technical field of audio, and the method comprises the steps: building a multi-level code scanning data return stabilization mechanism, and guaranteeing the uploading reliability of code scanning data in a production test process through a local buffer queue, network state real-time evaluation and an intelligent retry strategy; constructing a multi-version application processor AP compiling adaptation framework, and automatically loading corresponding function libraries and compiling parameters through version automatic identification, compatibility index evaluation and dynamic link library management; a cross-platform compatible work order query interface is constructed, the work order query interface is dynamically rendered through a self-adaptive layout algorithm, a compiling adaptation frame suitable for different AP versions is adopted, dynamic link library management and automatic compiling parameter configuration are combined, the universality and expansibility of a tool are greatly improved, meanwhile, a cross-platform interface self-adaptive rendering technology is adopted, and the working efficiency is improved. Therefore, the work order query tool can provide consistent user experience under multiple operating systems.

Methods and systems related to parallel computing using heterogeneous networks of computational nodes are disclosed herein. A method for executing a complex computation on a heterogeneous set of computational nodes linked together by a set of links in a network is disclosed. The method includes compiling, using a table of bandwidth values for the set of links in the network, a set of instructions for routing data for the execution of the complex computation. The method also includes configuring a set of programmable controllers on the heterogeneous set of computational nodes with the set of instructions. The method also includes executing the set of instructions using the set of programmable controllers. The method also includes routing data through the network to facilitate the execution of the complex computation by the heterogeneous set of computational nodes and in response to the execution of the instructions.

The invention relates to the technical field of edge computing and artificial intelligence model updating, and provides a cloud edge collaborative edge end equipment operator hot updating method, system and device and a medium. The method comprises the steps that a cloud detects a new version of an operator and generates an incremental update package between the new version and the old version; the edge node pulls the incremental update package and performs multiple security verification on the incremental update package; a double-instance inference engine is deployed in the edge node, operators passing verification are preloaded to a standby engine, and hot switching from an operation engine to the standby engine is achieved through a state synchronization mechanism; monitoring the running state of the new engine after switching, if the running state is abnormal, triggering a rollback mechanism, and switching back to the original engine; and optimizing edge node resources, cleaning old version operators, and reporting an update state and a resource use condition to the cloud. Core mechanisms such as differential updating, double-instance engine hot switching, multiple safety verification and dynamic resource scheduling are fused, and therefore efficient, safe and non-perceptual operator updating is achieved.

The invention provides an interface element dynamic adaptive regulation and control system and method based on user real-time behavior perception, and the method comprises the steps: deploying a lightweight front-end monitoring script to capture user real-time behavior data, and carrying out the processing of the collected user real-time behavior data, and obtaining a standardized JSON data flow; analyzing the preprocessed data stream through a hybrid model architecture, analyzing a behavior pattern, matching the analyzed behavior pattern with a predefined pattern library, and generating a behavior pattern label and a confidence score; and constructing an adaptive interface element adjustment scheme based on the obtained behavior mode label and the confidence score, and generating a fine adjustment strategy for the interface elements based on the adaptive interface element adjustment scheme. The method breaks through the lagging and coarseness limitation of traditional static response and historical portrait rules, realizes personalized experience upgrading from intention change to interface self-adaption, and remarkably improves the self-adaption accuracy and interaction fluency of the interface under different user intentions such as navigation, tasks or exploration.

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) responsive to a received query by using a hierarchical semantic fingerprinting framework to generate semantic-aware fingerprints for the query and agents. Queries and descriptions of agent capabilities are processed by a series of hierarchical levels using locality-sensitive hash (LSH) functions, where subsequent layers encode more complex semantic information and generate longer hash values. The hash values are aggregated into a semantic fingerprint. A bloom filter cascade uses a series of increasingly accurate hierarchical bloom filters to reject agent fingerprints that differ from the query fingerprint. The remaining agent fingerprints are compared bitwise to the query fingerprint, and those closest to the query fingerprint are selected to generate a routing path for the query. Responses from the selected agents are aggregated into an output that is responsive to the input.

Provided herein are systems, apparatuses, articles of manufacture, methods and / or computer program product embodiments, and / or combinations and sub-combinations thereof, for optimizing the rendering of a user interface (UI). For example, a first set of drawing instructions configured to render a first UI element for a graphical UI (GUI) is obtained. A determination is made that a representation of the first UI element is stored in a memory. In response to determining that the representation of the first UI element is stored in the memory, execution of the first set of drawing instructions is bypassed. The representation of the first UI element is obtained from the memory based on bypassing execution of the first set of drawing instructions. The obtained representation of the first UI element is rendered for the GUI.

The invention relates to the technical field of user interface development and evaluation, and provides a method for judging web interface interaction complexity, and the method comprises the steps: S1, dividing a web interface into a plurality of function modules; s2, counting the number of UI elements in each function module through an element number statistical model; s3, analyzing a data dependence or transmission relationship among the functional modules in the web page through a data flow hierarchy complexity model, and determining a transmission link depth of data among the modules; s4, counting the single-page data volume of the web interface through a single-page data volume statistical model; and S5, calculating the web interface interaction complexity based on the number of UI elements in each function module, the transmission link depth and the single-page data volume. Compared with a traditional function counting or code quantity statistical method, the hidden complexity such as bidirectional data flow and condition triggering refreshing in the module dependency chain can be accurately recognized, and a scientific basis is provided for development resource allocation.

Some embodiments automatically identify a target of a robotic process automation (RPA) activity (e.g., a button to click, an input field to fill out) according to a semantic similarity between a design-time label of the target and a label of a target candidate selected from a runtime instance of the target UI. Semantic similarity herein denotes likeness of meaning, as opposed to wording. Some embodiments employ a language model (LM) to quantify semantic similarity.

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 a high-performance virtual scrolling method and system supporting a large-scale tree structure, and the method comprises the steps: constructing a dual-mapping data table structure of the tree structure, which comprises a node mapping table and a sublevel relation mapping table; when it is detected that the node height changes, the virtual rolling rendering engine generates a flattened rendering list in real time based on the unfolding state of the corresponding node in the node mapping table; the virtual rolling rendering engine calculates rendering positions of nodes in the visual area through a dynamic position prediction algorithm; in response to the rendering location and the device type, the virtual scrolling rendering engine dynamically adjusts the virtual scrolling window and the tree structure node hierarchical indentation pitch, and renders in the virtual scrolling window according to the flattened rendering list. According to the application, the data relationship and the rendering position are decoupled through the double-mapping data table structure, the smooth rolling of ten thousand-level nodes can be realized, the memory occupancy rate is reduced, the interaction response speed and the rendering performance are improved, and the method has rolling stability, cross-device display consistency and deployment flexibility.

The invention discloses a dynamic icon transition method and system based on intelligent interpolation, and belongs to the technical field of digital media, and the method comprises the following steps: decomposing a source icon and a target icon into basic graphic primitives, and retaining a graphic layer relationship and a nested structure; analyzing the parameterized data, matching corresponding primitives according to specific priorities, and calculating parameter differences; automatically generating an interpolation path and a complement frame based on the difference, and realizing the automatic generation of the transition animation; and through a built-in slow motion function library and a dynamic parameter interface, an animation curve and a rhythm are adjusted during operation, and multi-resolution adaptation and SDK packaging calling are supported. Through parametric modeling and intelligent interpolation, automation, style unification and cross-platform adaptation of icon transition are achieved, and development efficiency and interaction experience are remarkably improved.

The invention discloses an Android Service plug-in implementation method, an Android Service plug-in implementation system, Android Service plug-in implementation equipment and a medium. The Android Service plug-in implementation method specifically comprises the following steps: deploying proxy service in a host application, creating a standard interface IServiceInterface, and fusing host and plug-in resources by rewriting a context loading method of Android Service; constructing a service life cycle prediction model through a federated learning framework based on multi-device service behavior data collected during proxy service operation; generating a dynamic scheduling strategy based on an output result of the service life cycle prediction model in combination with the equipment electric quantity, the network type and the CPU load; and based on a dynamic scheduling strategy, writing the plug-in metadata hash, the federated model fingerprint and the device state snapshot into a block chain smart contract, and verifying the integrity of the plug-in through a light node on the chain to obtain a block chain verification result. According to the method, the stability and the reliability of the Service plug-in are improved, and powerful support is provided for the hot update function of the Android application.