568 results about "System interface" patented technology

Training and executing machine learning pipelines for graph data sets may be orchestrated. A request for machine learning pipelines on a graph data set may be received via a machine learning pipeline building system interface. The machine learning pipeline building system may generate a profile of the graph data set from characteristics determined from the data set by the machine learning pipeline building system. Machine learning algorithms may be selected according to the profile of the graph data set and may be used to generate an execution plan that is executes the machine learning pipeline.

Computer-implemented methods and systems interface with a language model (e.g., a Large Language Model (LLM)) to assist in document revision. The methods and systems allow text to be selected within a document and an action definition to be selected from an action definition library. The text and / or the action definition may be selected using a graphical user interface (GUI). An action defined by the selected action definition is applied to the selected text to generate text. For example, the selected action definition may include a prompt, and the prompt may be combined with the selected text to generate a combined prompt. The combined prompt may be provided as an input to the LLM, which may generate the generated text. The generated text may be integrated into the document.

The invention discloses a self-adaptive NL2SQL method and system based on a large language model and retrieval enhancement. The method comprises four key steps of mode linking, example enhancement and SQL generation, multi-path thinking chain fusion reasoning and multi-round self-correction. The system comprises the following modules: a knowledge base management module, an input analysis and preprocessing module, a mode link module, an example enhancement module, an SQL (Structured Query Language) generation module, an SQL fusion and optimization module, an SQL execution and feedback module, a multi-round self-correction module, a Prompt construction and context management module, a system interface module and a content generation module. The method has the advantages that multiple large models are supported, a data source is quickly accessed, a user-defined prompt structure is configured, good engineering maintainability and scene adaptability are achieved, and SQL generation accuracy, performability and universality are improved.

The invention discloses an implementation method for constructing a unified user authentication center based on an OIDC framework, and the method comprises the steps: S1, integrating user data sources, and constructing a unified science and technology management user information base; s2, constructing a unified user authentication center of the science and technology management industry; s3, related functions of each business platform system in the science and technology management industry are upgraded, OIDC unified user authentication service docking is completed, and unified identity management is realized; and S4, system interfaces of all service platforms in the science and technology management industry are comprehensively and jointly debugged, and seamless cooperation of all the service platforms in the science and technology management industry and the OIDC unified user authentication center is ensured. The method has the advantages that the problems of informatization cross-system and cross-platform identity management and authority control in the science and technology management industry are solved, efficient and safe user identity management is realized, the system safety is enhanced, the system convenience is improved, the system integration complexity is reduced, and the informatization system management efficiency is improved.

The invention provides an intelligent customer service system, which comprises an information acquisition module used for identifying a customer identity according to a user login account and obtaining historical data under the account; the grading module is used for establishing a customer portrait model according to the historical data and classifying customer types; the matching module is used for automatically matching a service strategy model version corresponding to the account according to the customer type obtained by the grading module; the knowledge graph response module is used for carrying out deep analysis on client input contents based on the natural language understanding capability of a large language model in combination with a context, a client portrait and historical data after the version of the service strategy model is determined, automatically generating a task list and a semantic tag tree for a dialogue, and continuously optimizing the task list and the semantic tag tree; starting from a problem node of the task list, analyzing a corresponding semantic tag along an optimized and trained path in the knowledge graph, and matching a service processing action; and triggering a back-end system interface associated with the node according to needs, transferring real data, and solving client problems.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling a user to conduct a dialogue. Implementations of the system learn when to rely on supporting evidence, obtained from an external search system via a search system interface, and are also able to generate replies for the user that align with the preferences of a previously trained response selection neural network. Implementations of the system can also use a previously trained rule violation detection neural network to generate replies that take account of previously learnt rules.

The invention discloses an AI Agent-based low-code outbound verbal skill process configuration method and system, and the method comprises the steps: carrying out the word segmentation and semantic analysis of an original verbal skill text through a verbal skill configuration Agent, recognizing the type of a core business intention, extracting key entity information, carrying out the feature extraction and weight calculation of customer portrait data, and generating a customer feature model, fusing the key entity information with the customer feature model to generate an optimized verbal skill suggestion; performing keyword scanning, semantic rule matching and context association analysis on the optimized verbal skill suggestion through a compliance detection Agent to obtain a latest compliance standard update and generate a compliance detection result; carrying out automatic replacement and risk prompt supplement on violation contents through a dynamic correction function, and generating a compliant version verbal skill; and performing format standardization processing on the verbal skill of the compliant version through the outbound system interface, and then pushing the verbal skill to an outbound execution platform. According to the invention, the problems of low verbal skill configuration efficiency and insufficient compliance detection capability in the prior art are solved.

The invention provides a large-model-oriented heterogeneous computing power adaptive compiling method, which comprises the following steps that: a user inputs a trained large model through a system interface, and a system front-end conversion module analyzes a computational graph of the model and converts the computational graph into an intermediate representation based on a unified operator description language (UDL); the system hardware sensing module automatically detects and extracts hardware feature fingerprints of at least one piece of target hardware; based on the unified operator description language UDL intermediate representation and the hardware feature fingerprint, automatically generating an optimization adaptation rule oriented to at least one piece of target hardware; wherein the basis of parameterized filling comprises specific parameters of hardware feature fingerprints and optimized attribute tags carried in an intermediate representation of a unified operator description language (UDL); and generating and deploying multiple back-end codes. The method has the beneficial effects that intelligent compiling based on hardware features can be realized, and the deployment efficiency and the operation performance of a large model in a complex heterogeneous computing power cluster are remarkably improved.

The invention provides a man-machine interaction method and system of a multi-mode intelligent digital human. The method comprises the following steps: acquiring user voice data and user visual information data, processing to obtain user intention data, processing to obtain user emotional tendency data according to the user voice data and the user visual information data, acquiring service scene data, and processing to obtain reply text data in combination with the user intention data and the user emotional tendency data, the digital person replies according to the reply text data, obtains a current system interface image, determines a target control in combination with the user voice data, clicks the target control, obtains a man-machine interaction effect evaluation index through processing according to interaction effect monitoring data of the intelligent digital person in a preset time period, and carries out man-machine interaction on the target control according to the man-machine interaction effect evaluation index. Intelligent feedback of a man-machine interaction effect is realized; therefore, the purpose of improving the man-machine interaction effect and the user experience is achieved.

The embodiment of the invention provides an application starting method and electronic equipment, the method is applied to the electronic equipment, the electronic equipment comprises a system service process, a system interface process and a desktop process, and the method comprises the steps that in response to a first operation of a user, the desktop process sends a starting message to the system service process, the starting message indicates that a first function of the first application is started through the shortcut, and an interface corresponding to the first function is an interface displayed after the first application loads n activities in sequence; in response to the starting message, the system service process starts a first activity in the n activities and creates a first transition component, and in the process of starting the first activity, the system interface process adds and draws a first starting window for the first activity; in response to that the first transition component is ready, the system interface process notifies the desktop process to execute the first transition component; the desktop process executes the first transition component. The method can improve the response speed when the application is started.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

The invention relates to the technical field of intelligent management and control, and discloses an engineering project full life cycle cost intelligent management and control system, which comprises a data acquisition and integration module used for acquiring multi-source cost data of each stage of an engineering project and cleaning and integrating the multi-source cost data; the cost prediction and analysis module is used for performing cost prediction and real-time analysis on the integrated data; and the real-time monitoring and early warning module is used for carrying out omnibearing real-time monitoring on the engineering project cost and giving out early warning when the engineering project cost is abnormal. Through an Internet of Things data acquisition unit, an external system interface unit and a data cleaning and standardization unit in the data acquisition and integration module, comprehensive acquisition of multi-source cost data in each stage of an engineering project is realized, and denoising, de-duplication processing and format conversion are performed on the acquired multi-source heterogeneous data; the accuracy and consistency of the data are ensured, and a high-quality data basis is provided for subsequent cost prediction, analysis, monitoring and decision making.

The invention belongs to the technical field of computer security, and relates to a dynamic detection architecture, strategy, system and method for attack variants, and the multi-layer risk detection architecture is composed of a behavior change detection layer, a code structure detection layer and a data flow detection layer. The dynamic adjustment detection strategy is formed by respectively introducing a behavior change detection layer, a code structure detection layer and a data flow detection layer in a multi-layer risk detection architecture into a self-learning model; the dynamic detection system comprises a system interface module, a risk preliminary screening module and a variation detection module; the dynamic detection method comprises the following steps: primarily screening data input through the system interface module by using the risk primary screening module; inputting the primarily screened data into a variation detection module for detection and analysis, and configuring the access authority of the input data according to an output result; according to the method, the comprehensiveness of variation feature detection is improved, and the detection performance of the model is improved so as to adapt to continuously changing attack features.

The invention provides a heterogeneous multi-modal data intelligent fusion method and system, and the method comprises the following steps: monitoring whether a data source structure is changed or not through a data monitoring model, and automatically generating an adapter template if the data source structure is changed, if the existing data sources are seriously missing, missing data optimization processing is carried out on the existing data sources which are seriously missing, and if existing data source conflicts exist, conflicting data optimization processing is carried out on each pair of conflicting existing data sources. By the adoption of the method, the system can automatically generate the adapter template and the dynamic expansion analysis strategy library, and data cleaning, repairing and fusion can be completed without depending on a service system interface.

The invention provides a micro-service system interface authority management and authentication method and a related device, and belongs to the technical field of software engineering. According to the method, a micro-service plug-in is deployed at each micro-service node, the micro-service plug-in automatically collects interface information of a micro-service system and permission description information corresponding to the interface information, and the interface information of the micro-service system and the permission description information corresponding to the interface information are synchronized to all API gateway nodes through a Nacos configuration management center; starting a role permission configuration server, performing unified management on interface permission information, user role information and permission configuration information of the micro-service system in the role permission configuration server, and performing unified distribution on users, roles and permissions; and starting the single-point authentication server, and verifying the user identity in the single-point authentication server. According to the invention, the problem of low integration efficiency of the micro-service system is solved.

The invention discloses a cloud mobile phone equipment fingerprint disguising method and related equipment, and relates to the technical field of cloud mobile phone security, and the method comprises the steps: obtaining hardware entropy source data which comprises current timestamp data, a hardware unique identifier hash value and an environment noise sampling value; non-linear transformation is carried out on the hardware entropy source data based on a preset chaotic mapping algorithm, a virtual parameter set is generated, and the virtual parameter set meets a preset equipment parameter rule; covering the virtual parameter set to a multi-level system interface of the real equipment fingerprint through kernel-level injection operation; monitoring the use state of the virtual parameter set based on a preset life cycle model, and determining a parameter updating trigger condition; and when a parameter updating triggering condition is met, the nonlinear transformation is executed again to generate an updated virtual parameter set, and the updated virtual parameter set covers the multi-level system interface.

The invention discloses a system-on-chip, a system-on-chip configuration method and electronic equipment. The system on chip comprises a multi-core RISC-V processor and a field programmable gate array (FPGA), the FPGA is configured to send an initial configuration completion signal to the multi-core RISC-V processor after the initial configuration is completed by power-on starting; the multi-core RISC-V processor is configured to start a bootloader according to the initial configuration completion signal, and the bootloader is configured to start the bootloader according to the initial configuration completion signal; under the condition that an FPGA reconfiguration event occurs, a reconfiguration request signal is sent to the FPGA; the FPGA is further configured to set a storage position to obtain new configuration data, and after reconfiguration is completed, a reconfiguration completion signal is sent to the multi-core RISC-V processor; the multi-core RISC-V processor is further configured to execute system interface reinitialization and / or configuration parameter updating according to the reconfiguration completion signal. According to the scheme of the invention, a bidirectional configuration mechanism between the FPGA and the RISC-V is realized based on the standardized interaction signal, and the dynamic configuration / upgrading requirements of system functions are fully met.

The invention belongs to the field of automatic testing, and particularly relates to an automatic testing system and method for aviation fly-by-wire flight control equipment, and the system comprises a system self-inspection unit, a system resource unit, a system interface adaption unit, and a system testing control unit. And the system self-checking unit controls the automatic test system to execute a self-checking function through operation software. The test efficiency and the test coverage rate can be remarkably improved, the problem of function test omission can be effectively solved, the fault of the tested airborne avionics equipment is analyzed by adding the YMECA fault analysis module and combining the definition event and the structure function of the fault tree, qualitative analysis is carried out on the fault, a professional basis is provided for fault diagnosis, the maintenance difficulty is reduced, and the test efficiency is improved. The aircraft maintenance guarantee efficiency is improved, and joint test of a plurality of airborne avionics devices and parallel test of a plurality of airborne avionics devices of the same model in a fly-by-wire flight control system of a certain type of fighter can be realized.

A unification method based on data acquisition interfaces of different SCADA (supervisory control and data acquisition) production monitoring systems of a sewage plant comprises the following steps: analyzing private protocols such as Modbus through protocol conversion middleware, and standardizing data streams; establishing association between the unique identifier and the data stream by using an equipment mapping mechanism to form a data mapping table; a data normalization algorithm is adopted to unify a field format, and missing values are filled through linear interpolation. And an increment adaptation module is designed to realize compatibility of new and old system interfaces, and AES-256 encryption is combined to guarantee transmission security. The transmission rate is dynamically adjusted based on the network state, and video and production data are fused. A multi-protocol environment is adapted through an adaptive protocol adjustment module, and finally data integrity is ensured by using a CRC check and retransmission mechanism. According to the scheme, a technical closed loop from protocol conversion to multi-source fusion is constructed, the problems of data island and compatibility of the SCADA system of the sewage plant are solved, and the data management efficiency and reliability are improved.

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention relates to the technical field of mobile terminal software updating, and provides an off-line H5 non-inductive updating method based on atomization version switching, which comprises the following steps: packaging and compressing H5 resources, calling a system interface to obtain an application writable sandbox path, and comparing version numbers in the application writable sandbox path and a server; creating a target version isolation catalogue and a temporary catalogue, writing the temporary file into a sandbox catalogue in an atomic in-place manner in a blocking manner, traversing the catalogue to confirm an entry file, constructing a symbolic link to point to a new target version isolation catalogue, and replacing an original symbolic link; establishing an off-line resource management structure under an application sandbox path, judging updating according to a network strategy and a gray rule, and evaluating a system abnormal index after updating; the invention further provides an off-line H5 non-inductive updating system based on atomization version switching. The off-line H5 non-inductive updating system comprises a resource presetting module, a sandbox management module, a non-inductive updating engine, a protocol adaptation layer and a safety verification module.

The invention relates to a multi-source data fusion type passenger station intelligent management and control method and system based on AI drive, and belongs to the technical field of infrastructure intelligent management, and the intelligent management and control method comprises the steps: obtaining video stream data through an intelligent camera, obtaining environment monitoring data through an Internet of Things sensor, and obtaining ticket checking gate log data through a business system interface. And performing edge calculation processing on the video stream data to generate structured metadata. And according to the space grid ID alignment data, aggregating and generating a fusion feature matrix according to a time window. And calling a passenger flow prediction model to process the fused feature matrix, and outputting a passenger flow prediction value and a confidence score. The predicted value is compared with a dynamic threshold, and a standardized decision event is generated when the threshold is exceeded. And a linkage task package is generated through rule engine matching, the linkage task package is distributed to each device through message middleware to execute cooperative operation, and model parameters and threshold library data are updated according to a device response message. The management and control requirements of large-scale passenger flow in the passenger station can be effectively met.

The invention relates to a one-code multi-service method and system in a medical scene, and the method comprises the steps: dynamic code generation: generating a visual dynamic code after security processing based on a user identity, a current medical scene code, a service intention, a timestamp and a random number; the dynamic codes are analyzed and verified, format verification, timeliness verification, anti-replay verification and digital signature verification are executed on the obtained dynamic codes, the dynamic codes are analyzed, and an analysis result is obtained; and performing service routing decision and execution, querying a predefined scene-service-authority rule according to the scene and user information in the dynamic coding analysis result, determining a target service of a user, calling a corresponding back-end medical service system interface to receive and perform service response, and finally returning a service result to the user terminal. According to the invention, the convenience, the integration level, the safety and the user experience of medical services can be improved, the operation and maintenance efficiency of the medical services is improved, and the collaborative cost of multiple medical systems is reduced.

The invention discloses a production line layout optimization decision support system based on data driving. The system comprises a data acquisition module, a data preprocessing module, a feature analysis module, a layout optimization module and a man-machine interaction module. The data acquisition module establishes a bidirectional data channel with an MES system interface through an Internet of Things sensor, and is used for acquiring equipment state data and production order information in real time; the data preprocessing module is connected with the data acquisition module and is used for receiving the original data stream and executing dynamic cleaning and fusion processing; the feature analysis module interacts with the data preprocessing module through a memory shared database, receives the standardized production feature matrix and outputs a bottleneck analysis result; and the layout optimization module communicates with the feature analysis module through an OPC UA protocol to obtain bottleneck parameters as optimization constraint conditions. The problem that in the prior art, modeling depends on historical data, production fluctuation cannot be responded in real time, and then an optimization scheme lags behind actual requirements is solved.

A dynamic, personality-driven user experience that includes receiving, from a user account, a request to access a system interface for a system; identifying, based on personality indicators for the user account, a user account personality from a plurality of user account personalities, wherein each of the personality indicators is associated with at least one of the plurality of user account personalities; reconfiguring the system interface based on the identified user account personality; and granting, to the user account, access to the reconfigured system interface, including presenting the reconfigured system interface to a user of the user account.

The invention particularly relates to an exciter virtualization-based airborne application software simulation running environment construction method, which comprises the following steps of: carrying out digital packaging on an operating system interface to realize virtualization running of an embedded real-time operating system; digitally packaging communication interfaces such as a 1553B bus, an ARINC429 bus, discrete magnitude and the like so as to reproduce real avionics communication characteristics in a virtual environment; and simulating a peripheral software and signal interaction process so as to realize virtual generation and response of the multi-source excitation signal. By constructing the simulation running environment, the dynamic test of the airborne embedded software can be carried out under the condition of no real hardware, so that the test sample space is expanded, the test coverage rate and sufficiency are improved, the design and execution efficiency of a dynamic test case is improved, repeated manual operation is reduced, the test cost of the airborne embedded software is reduced, and the test efficiency of the airborne embedded software is improved. The economic benefit is improved.

An example of a distributed discernment system including a discernment server and a communications interface permitting bi-directional communications to and from the discernment server; and a plurality of human interface devices, each including a speaker, a microphone, a processor running a local processing program, and a system interface permitting bi-directional communications between the human interface device and the discernment server, where the diagnostic program running on the discernment server is adapted to generate interview instructions provided to the interface devices and the interface devices are adapted receive interview instructions from the discernment server, present a verbal question to a human interviewee; receive and process sensor data from the microphone to determine whether the microphone sensor data corresponds to a complete human voice response to the presented verbal question.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling a user to make a conversation. Implementations of the system learn when depends on support evidence obtained from an external search system via a search system interface, and can also generate replies for the user that conform to preferences of a previously trained response selection neural network. Implementations of the system may also use a previously trained violation detection neural network to generate replies that take into account previously learned rules.

An apparatus for facilitating processing scalable centralized error queues in an architecture is disclosed. The apparatus comprises: a processor comprising a system interface hosting an error aggregator, where the processor is configured to: hosting at least one centralized error queue in the error aggregator, the at least one centralized error queue to store an error log for errors detected by components of the processor; receiving an error report message from one of the components of the processor, the error report message corresponding to an error detected by the component; and based on the error type of the error, recording the error as an entry in at least one centralized error queue.

An extended reading module for an access control system with a radio interface for reading an access identifier from a mobile terminal device, with an access control device interface for connection to an access control device, wherein the access control device interface is configured to accept a device data packet based on an access identifier from the access control device, with a system interface for transmitting a module data packet within the access control system, wherein the extended reading module is configured to provide and transmit the module data packet based on the access identifier or the device data packet.