63 results about "Function mapping" patented technology

The invention discloses a multi-dimensional layered current limiting method based on spatio-temporal feature fusion. The method comprises the following steps: acquiring a hardware limit speed, and generating a global quota based on a reinforcement learning model; calculating a variable coefficient, and if the variable coefficient exceeds a preset critical value, introducing a conservative coefficient and generating a weight factor through nonlinear function mapping to suppress the micro network jitter; constructing a priority factor matrix based on the service priority and the service type, and obtaining a service priority factor; correcting the average bandwidth of the node by integrating the multi-dimensional dynamic weight factor and the service priority factor to obtain a suggested speed, inputting a historical performance index into the LSTM model to predict the load of the next period, and if the historical performance index exceeds a critical value, triggering connection migration before executing current limiting to realize active avoidance; otherwise, comparing and selecting the minimum value of the global quota, the suggested speed and the hardware limit speed as the final current-limiting speed. The problems of current limiting strategy lag and wide oscillation can be solved, and the bandwidth utilization rate and the system stability are improved.

Provided are a computer system and method for generating and providing intelligent recommendations using artificial intelligence (“AI”). The system includes a memory for storing user feedback data, user resource data, and user goal data, and a processor in communication with the memory. The processor is configured to execute a first AI model for user interface (“UI”) effectiveness optimization, a second AI model for transaction optimization, a model mapping module configured to implement a functional mapping between the first AI model and the second AI model through which the first AI model and second AI model communicate and mutually update each other, and a user interface generator module for generating a user interface for outputting the intelligent recommendations and receiving the user feedback data.

The invention discloses a visual arrangement method and device for an automobile scene function, equipment and a storage medium, and relates to the technical field of new energy automobile control, and the method comprises the steps: responding to a mixed configuration operation of a user on function entries and event entries, and generating a function arrangement list; responding to execution time configuration of each function in the function arrangement list by a user; mapping each function in the function arrangement list into a corresponding system code and an operation code based on a pre-stored function comparison table; combining the system code, the operation code, the execution time configuration and the event trigger identifier into scene description data; the scene description data is encoded, the arrangement data packet is generated, and the shareable arrangement data packet is generated by responding to user mixed configuration and mapping, so that user definition, event triggering and social propagation of scene functions are realized, individual requirements can be met without modifying vehicle end software, and the development cycle is shortened.

The invention relates to the technical field of intelligent channel information, in particular to a coastal channel operation state real-time monitoring and early warning method based on digital twinning. Building a digital twin architecture and fusing multi-source operation data to realize real-time synchronous mapping from a physical channel to a virtual channel; introducing a multi-dimensional mechanism model and a historical mechanism function thereof to drive an AI model to perform function mapping, and constructing a back-silting dynamic prediction model to obtain a navigation risk index of a future leg; a space-time occupation matrix and space-time safety envelope model is constructed based on the navigational speed and course data of nearby ships and the ship, the future ship collision risk is predicted, studied and judged, and a navigation safety index is generated; performing coupling evaluation on the navigation risk and the navigation risk by using a marginal dependence distribution model to form a comprehensive risk and trigger dynamic early warning; and issuing early warning information and auxiliary decisions through the shipborne terminal and the VTS center. According to the invention, a complete ship-shore-cloud cooperative digital twin system is constructed, and global digital and intelligent management of coastal channels is realized.

The invention discloses a self-adaptive multi-mode mouse based on scene recognition and a control method thereof, and relates to the technical field of man-machine interaction, the mouse comprises a behavior acquisition module, a local mode recognition module, a cloud analysis module, a mode optimization module and a model self-updating module; the control method specifically comprises the steps that DPI sensitivity and key function mapping are dynamically adjusted based on an identification result, progressive parameter switching and RGB state indication are supported, and model autonomous evolution is achieved through OTA incremental updating. The method has the functions of cross-device federated learning, privacy encryption transmission, abnormal fault tolerance and energy-saving management, basic intelligence can be maintained by depending on local cache in an offline state, high-precision, low-delay and self-adaptive man-machine interaction experience can be realized, the operation efficiency is remarkably improved, and the misoperation rate is reduced.

The application provides a magnetic shaft keyboard RT value dynamic optimization method, system, medium and product, and relates to the technical field of automatic control. Including: for the keyboard global mapping scene, first collect the dynamic operation data such as pressing depth, pressing speed and pressing eccentricity characteristics of the keys within the user preset time, then call the preset key feature-finger function mapping table, and match to obtain the corresponding finger function characteristics. Then, combined with the characteristics and the physical topology structure of the keyboard keys, at least an independent control area containing a strong control area and a weak control area of finger function is divided, and the fatigue state is judged according to the change trend of the dynamic operation data of each area. Finally, according to the dynamic operation data and the fatigue state, an exclusive RT value adjustment strategy is generated for different independent control areas, the strategy is issued to the corresponding area to complete the RT value adjustment, and the RT value is dynamically adapted according to the finger function and the use state.

The invention discloses a development tool plug-in synchronization method based on artificial intelligence, and the method comprises the following steps: S1, collecting the multi-modal feature data of a plug-in, and generating an original feature data set; s2, processing the data by adopting a causal graph method, constructing a plug-in and context relation graph, and generating a context enhanced semantic vector; s3, constructing a cross-environment function mapping model matching semantic set to generate candidate plug-ins; s4, performing combination mapping on the candidate plug-in set, determining a one-to-one or multi-plug-in scheme and outputting a coverage rate index; s5, loading the candidate set in the virtual sandbox environment, executing a compilation test debugging process and collecting operation performance indexes; and S6, generating an anti-fact scene based on the operation indexes, and comparing actual and anti-fact results to screen a final synchronous plug-in scheme. According to the method, cross-platform function consistency synchronization and stability guarantee of the development tool plug-in are realized through context feature modeling, cross-environment function mapping and causal verification driven by the causal graph.

The invention discloses a substation interface configuration operation and maintenance method and system based on functional identity recognition, and belongs to the technical field of substation operation and maintenance. According to the invention, the anti-misplug guide keys are configured for the in-cabinet interface and the out-cabinet interface through the in-cabinet interface configuration data and the out-cabinet interface configuration data, so that misplug and misplug between the interfaces on an object quantity connection layer are avoided; by generating a function identity identification code and constructing a function mapping database, digital management of function logic configuration between interfaces is realized, and the complexity and error rate of manual parameter configuration are reduced; simple and efficient substation interface configuration is realized; then the to-be-overhauled interface is identified through the substation operation and maintenance requirement, the function mapping database and the function identity identification code, the to-be-overhauled interface needing to be isolated can be accurately identified from the interface function logic level, the risk of isolation leakage or misoperation is avoided, efficient and accurate substation interface operation and maintenance are achieved, and the operation efficiency is improved. And the efficiency and the accuracy of substation interface configuration operation and maintenance are improved.

The invention provides an adaptive configuration and switching method and device for a PHEV driving mode, electronic equipment and a storage medium, in the method, a preset scene mode list and a function mapping table of physical keys are dynamically generated according to vehicle driving form information, deep decoupling and adaptive matching of control logic and hardware configuration are achieved, and the driving mode switching efficiency is improved. The problem of interaction redundancy or function ineffectiveness caused by configuration difference in a traditional scheme is effectively solved, and the software maintenance cost of a multi-configuration vehicle type is remarkably reduced; meanwhile, in combination with a long-press direct mechanism of context awareness, a user can enter a specific high-performance mode by one key without experiencing tedious cyclic switching or sight line transfer under an emergency working condition, so that the operation convenience and blind operation safety in the driving process are greatly improved, intelligent interaction experience of'hardware self-adaption + operation high efficiency 'is constructed, and the user experience is improved. Therefore, the driving mode control performance of the PHEV model is comprehensively optimized.

This invention relates to the field of intelligent waterway information technology, specifically a method for real-time monitoring and early warning of coastal waterway operation status based on digital twins. It establishes a digital twin architecture and integrates multi-source operational data to achieve real-time synchronous mapping from physical waterways to virtual waterways; it introduces a multi-dimensional mechanism model and its historical mechanism functions to drive an AI model for function mapping, constructing a dynamic siltation prediction model to obtain navigation risk indicators for future waterways; based on the speed and heading data of nearby vessels and the vessel itself, it constructs a spatiotemporal occupancy matrix and a spatiotemporal safety envelope model to predict and assess future vessel collision risks and generate navigation safety indicators; it uses a marginal dependency distribution model to couple and assess navigation risks, forming a comprehensive risk and triggering dynamic early warnings; and it disseminates early warning information and assists in decision-making through shipborne terminals and the VTS center. This invention constructs a complete ship-shore-cloud collaborative digital twin system, realizing full-domain digital and intelligent management of coastal waterways.

The invention provides a water antibiotic pollution detection method and system based on spectral characteristics, and belongs to the technical field of water environment monitoring, analysis and detection.The method comprises the steps that firstly, a surface enhanced Raman spectrogram and oxidation-reduction potential time sequence data of a to-be-detected water sample are synchronously obtained; then, extracting a ratio of the characteristic peak intensity of the target antibiotic from the spectrogram to generate a first characteristic set, and meanwhile, performing wavelet packet decomposition on the potential data and calculating an energy entropy to construct a second characteristic set; then, splicing the two feature sets, and screening out a target feature subset highly related to the concentration through a mutual information maximization algorithm; finally, a support vector projection regression model trained based on a structural risk minimization mechanism is utilized, and accurate detection of the concentration of the target antibiotics in the water sample to be detected is achieved through kernel function mapping and hyperplane projection operation. According to the method, the anti-interference capability and the quantitative precision of antibiotic detection under the complex water body background are improved.

The invention relates to an interface document automatic generation method and device, electronic equipment and a storage medium, and the method comprises the steps: analyzing a project source code to obtain a structure library and packaging functions, and constructing a function mapping table according to parameters and structure fields in each packaging function; based on the analyzed project source code, positioning a processing function and interface information corresponding to each interface path, and determining a response expression finally returned by the processing function; if the response expression is called by a packaging function, injecting a parameter type of a real parameter in the response expression into a structural body field of a corresponding packaging function according to a function mapping table, and performing recursive analysis on each field after the parameter type is injected in combination with a structural body library to obtain a field type tree; calling a large language model to perform semantic description on the field type tree and context information of each field to form an enhanced data structure; and integrating the interface information and the enhanced version data structure to generate an interface document. The accuracy of interface document generation is improved.

The invention discloses a test verification method and system suitable for an intelligent substation, and relates to the technical field of test verification, and the method comprises the following steps: collecting operation information in the substation, and obtaining an initial feature; performing multi-source information association analysis according to the initial features to obtain a function mapping relation; performing communication performance verification according to the function mapping relation to obtain a performance index; performing logic consistency verification according to the performance index to obtain a logic verification result; performing redundancy reliability detection according to a logic verification result to obtain a reliability index; and performing consistency evaluation according to the reliability index to obtain a whole-station verification result. According to the method, the mapping relation of each functional path in the range of the whole station is constructed, the one-sidedness problem caused by limited information sources is solved, multi-source information fusion and logic dependence quantification are realized, and the reliability, comprehensiveness and accuracy of test verification are improved.

The invention discloses a cloud native task arrangement system supporting multiple life cycles and a code reuse method. The system is realized in a reusable framework library form and is integrated by a plurality of cloud native controllers through a dependency management tool, and each controller is instantiated into a self-consistent task arrangement subsystem during operation. The framework library comprises a local task registry, a maintenance task identifier and factory function mapping; a parameterized task model supporting task logic fixation and receiving dynamic parameters by executing a context; the dynamic task chain assembler instantiates the task objects bound with the parameters from the predefined process definition according to the operation type and assembles the task objects into an executable chain; and the extensible state machine engine drives task execution and supports customized state nodes and rollback logic. According to the method, frame-level code reuse is realized, business differences are elastically adapted while the unification of the architecture is ensured, the maintenance cost is concentrated to a single frame library, the development efficiency is remarkably improved, and the balance of isolation, reusability and flexibility is achieved.

This application provides a method and apparatus for generating test code in a target programming language. The method includes: during the verification phase of chip design, converting first test code into second test code based on a preset conversion program; the first test code is obtained by encoding the operation sequence in the verification requirements using a custom programming language, and the preset conversion program includes keyword conversion rules between the custom programming language and the target programming language, the keyword conversion rules including at least one of function mapping rules, register access mapping rules, and variable access mapping rules; determining the syntax tree corresponding to the second test code; at least one node in the syntax tree corresponds to at least one syntax keyword included in the second test code; traversing the syntax tree to obtain third test code in the target programming language; the third test code conforms to the direct programming interface specification. Using the above method can improve the generation efficiency of test code in the target programming language.

According to embodiments of the present disclosure, methods, apparatuses, devices and storage media for data query are provided. The method comprises: receiving a data query request for a target data source, the data query request indicating a first entity identifier to be queried; mapping the first entity identifier to a plurality of first indexes respectively using a plurality of mapping functions, each mapping function mapping a plurality of different entity identifiers to a same index; filtering a plurality of first data entities respectively matched with the plurality of first indexes from the target data source based on the plurality of first indexes and index information of data entities in the target data source, each group of data entities having index information matched with one of the plurality of first indexes; and determining a query result for the data query request from an intersection of the plurality of first data entities, the query result indicating at least a part of data entities included in the intersection.

The invention relates to a programmable key interaction system and method capable of being known in power failure, and the system comprises a main control system which is used for generating a function mapping table and display image data of entity keys according to a current scene; the programmable key module is in communication connection with the main control system and comprises a slave processor which is used for receiving and storing the function mapping table and the display image data and detecting a key event after the main control system is powered off; the nonvolatile memory is connected with the slave processor and is used for storing a function mapping table and displaying image data; the entity key array is connected with the slave processor and is used for receiving a pressing operation of a user; and the electronic ink screen is connected with the slave processor and is used for displaying the function identifiers corresponding to the entity keys in the entity key array and keeping the display states of the function identifiers after the main control system is powered off. According to the invention, the problem that the function identifier is unknown after power failure in the traditional scheme is solved, and the key function identifier can be kept visible after the main control system is powered off.

The invention discloses a single-thread event processing distribution method supporting exponential backoff. The method comprises the following steps: S1, registering a loop event to a loop event queue by calling a registration interface, and registering a random event-random event processing function mapping relation to a random event-random event processing function mapping table; s2, after event processing circulation is started, the event queue is circulated firstly, and then events in the queue are sequentially processed according to the event sequence in the random event queue. The method has the advantages that the events are divided into the circular events and the random events, classification registration is carried out, after event processing circulation is started, the events in the queues are processed in sequence according to the sequence of the circular event queue and the random event queue, and a retry strategy is optimized by introducing a back-off index.

The application discloses a point cloud rendering method and system, and relates to the technical field of computer graphics, and comprises the following steps: acquiring point cloud data of a detected object; S2, dynamically dividing a three-dimensional space into multiple rendering levels based on the real-time distance from the acquired point cloud data to a current observation point; based on each rendering level, respectively establishing a nonlinear smooth continuous function mapping relationship between rendering sampling probability and the observation distance of a rendering point radius, and respectively inputting a preset representative observation distance at each layer to obtain the rendering parameters of each layer; and applying the corresponding rendering parameters of the point cloud of different rendering levels to perform differentiated rendering operations. Advantageous effects: the hierarchical mechanism provides a structured framework for subsequent nonlinear parameter mapping, so that the adjustment of the rendering parameters can be based on an ordered spatial division closely related to visual perception, which is a prerequisite for the intellectualization of the whole method.

This invention relates to the field of fluid machinery operation control, and discloses an intelligent control method and system for a high-wear-resistant amphibious self-priming mining pump. The method includes collecting time-series data of the drive motor current and pump chamber pressure, constructing a function mapping relationship; calculating the phase difference and time delay between the current change rate and the pressure change rate; tracking the change process of the synchronization discrimination index around the response mismatch trigger point to determine the duration and magnitude of the synchronization deviation; when the synchronization deviation simultaneously meets preset duration and magnitude conditions, it is determined to be a water inlet interruption state; after determining the water inlet interruption state, the current response recovery time and pressure response recovery time are extracted respectively, the recovery time difference between the two is calculated, and based on the synchronization discrimination index, a drive speed adjustment function is constructed, and the drive speed adjustment function is adjusted in stages to generate a target speed command. This invention has the advantage of improving the accurate identification capability of transient air suction states.

The application relates to the technical field of human-computer interaction, in particular to a sensor-based intelligent ring gesture recognition method and system, which comprises the steps of acquiring hand state information, motion trajectory monitoring, posture change monitoring, gesture trigger condition judgment, pressure feature extraction and matching, dynamic optimization and function mapping and the like. Through multi-sensor cooperative collection and data fusion analysis, the application improves the real-time performance and stability of gesture recognition; the dynamic optimization mechanism is used to enhance the adaptability in a complex environment, and the gesture function association table is used to dynamically update user habits and optimize the recognition strategy. The application can significantly improve the accuracy and adaptability of gesture recognition and meet the needs of diversified application scenarios.

This invention proposes a hardware implementation method, apparatus, electronic device, and computer-readable storage medium for the Sigmoid function, relating to the field of data processing technology. The method constructs a function mapping table for the Sigmoid function, containing discrete non-negative floating-point values ​​within the unsaturated interval, based on the symmetry and saturation of the Sigmoid function, thereby substantially reducing the scope of the lookup table. On this basis, the absolute value of the floating-point values ​​belonging to the unsaturated interval is taken to obtain the value to be processed. This value is then converted to the target fixed-point format, and integer operations are used for table lookup, interpolation, and symmetry restoration to obtain the output value of the Sigmoid function based on the target floating-point value, improving computational efficiency. While ensuring the function output capability across the entire range, the size and storage overhead of the function mapping table are effectively reduced, while linear interpolation under the fixed-point format improves output accuracy.

The invention relates to an agent-based cross-thread remote procedure call communication method and system. Comprising the following steps: respectively registering message monitors in a main thread and a working thread to receive cross-thread messages; after the main thread constructs the request, a calling instruction is transmitted to the working thread; the working thread dynamically reflects and executes the target function according to the incoming path; the execution result is returned by the working thread and matched with the corresponding calling identifier, and the main thread analyzes the returned value and fulfills the previously suspended Promise according to the corresponding calling identifier; according to the method, manual processing of message event monitoring and function mapping logic is avoided, and asynchronous and synchronous interfaces are supported to be automatically converted into Promise; thread boundary transparency is achieved, and seamless cross-thread execution of function calling is achieved; the method has a lifecycle-like management and object release mechanism, and is suitable for a complex multi-thread task scene.

Embodiments of the present disclosure relate to automated test script generation based on machine learning test step-to-code function mapping. An apparatus in an illustrative embodiment includes at least one processing device including at least one processor and a memory coupled to the processor. The at least one processing device is configured to obtain test step information in a natural language form to apply the test step information to a machine learning system configured to map the test step information to the one or more code functions, determine values of one or more parameters in the one or more code functions, and apply the test step information to the machine learning system. And executing the one or more code functions in the test script execution environment using the determined values of the one or more parameters. In some embodiments, a machine learning system includes a long short term memory (LSTM) neural network configured to receive a sequence of text tags of test step information and map the sequence of text tags to a particular code function.

This invention relates to a bidirectional bridging communication method, system, and device based on the HarmonyOS ArkWeb component. It establishes an interaction bridge between the native and H5 ends by having the application call the ArkWeb component. Through layered decoupling and standardized module design, it significantly improves cross-end communication efficiency and architectural scalability. Specifically, the method includes: the H5 end initiating a communication request containing a business identifier via an enhanced prompt protocol; the ArkWeb component capturing the request and filtering invalid messages using a customized onPrompt listening mechanism; the native layer base class JSAdapter extracting key information from the request using a multi-dimensional parsing engine; distributing the parsed data to the corresponding core business modules based on a dynamic routing strategy; the core business modules matching and executing the target function using a pre-built function mapping table; and finally, feeding back the structured result to the H5 end through an asynchronous runJavaScript callback channel, forming a closed-loop communication link. This invention can flexibly address communication needs in multiple scenarios, reduce business coupling, and improve development iteration efficiency and system stability.

The application discloses a transformer bushing moisture state evaluation method based on low-dimensional state representation, relates to the technical field of transformer bushing moisture state evaluation, and comprises the following steps: a mapping framework is constructed, wherein model input parameters are taken as input, an internal moisture field of oil-paper insulation is taken as state, and a dielectric loss factor is taken as output; a temperature distribution is solved based on a preset multi-physical field coupling model, diffusion temperature and measurement temperature are extracted; the moisture field is low-dimensionally represented based on the diffusion temperature, equivalent diffusion distance and equivalent moisture state are obtained, and a function mapping of the dielectric loss factor is established in combination with the measurement temperature; and the current moisture state is inversed according to the measured dielectric loss factor and the measurement temperature, and an evaluation result is output. The method distinguishes the double modulation effects of temperature, realizes quantitative mapping from an unmeasurable moisture state to a measurable electrical quantity, improves evaluation accuracy and calculation efficiency, and is suitable for online monitoring and digital twin application of the transformer bushing.

The application discloses a high-precision micro-expression recognition method and device, electronic equipment and storage medium. The method comprises the following steps: S1, acquiring the RGB original image sequence corresponding to the micro-expression video frame and the RGB feature and the optical flow feature corresponding to the optical flow sequence between adjacent frames, and obtaining the adaptive bimodal fusion feature through weighted fusion; S2, simultaneously feeding the adaptive bimodal fusion feature into a multi-stage time convolution network branch and a state space model branch to obtain local time sequence output features and global time sequence features, and performing weighted summation on the local time sequence output features and the global time sequence features based on dynamic gating weights to obtain final gated time sequence fusion features; and S3, after compressing and aggregating the final gated time sequence fusion features, completing the emotion category prediction of the micro-expression through linear transformation and function mapping. The micro-expression recognition is based on motion saliency perception and local-global time sequence cooperation, and the micro-expression recognition precision is greatly improved.

The application provides a threshold privacy set intersection method and device and a readable storage medium thereof, and belongs to the technical field of privacy calculation and secure multi-party computation. In view of the problems of low batch selection efficiency, large calculation and communication cost of the existing scheme in large-scale two-party balanced set matching, the application encodes a plurality of selection indexes of a receiving party into roots of blind polynomials on a finite field, realizes batch selection expression and key generation through polynomial coefficient transmission, and completes polynomial batch inadvertent transmission expansion; the algebraic association relationship established in the inadvertent transmission expansion stage is reused as the key material of an inadvertent pseudo-random function, pseudo-random labels of local calculation elements are obtained by both parties, and light batch inadvertent pseudo-random function mapping is completed; finally, the size of the intersection set is safely calculated in the label space, and whether to output the accurate intersection set is determined according to the comparison result of the size and the threshold. The application is mainly used for digital advertising audience evaluation, joint marketing and anti-fraud risk control.

The invention discloses a pipeline multi-point regulation and control method, device and equipment under extra-high voltage direct current interference, and relates to the field of pipeline corrosion and protection. Inputting the state parameters into a pre-constructed first function mapping relation, and outputting potential distribution of the pipeline without the potentiostat; based on the potential distribution, determining a plurality of key control points for installing the potentiostat by taking a potential zero point as a reference; determining a regulation and control coefficient of the potentiostat installed at each key control point; randomly selecting the output current of the potentiostat by adopting a particle swarm algorithm, calculating the potential of each key control point according to a random selection result and the regulation and control coefficient, calculating the potential variance along the pipeline according to the potential of each key control point, and when the potential variance along the pipeline is minimum and meets a potential constraint condition, determining that the pipeline is the pipeline. The optimal output current of the constant potential rectifier is obtained; and regulating and controlling the output of the constant potential rectifier based on the optimal output current.