143results about How to "Reduce learning costs" patented technology

The invention provides a multi-agent cooperation system, which comprises a multi-agent cooperation engine module, a task decomposition and distribution module and a tool calling normal form module, and is characterized in that the task decomposition and distribution module is used for decomposing tasks and distributing decomposed sub-tasks to agents; the multi-agent cooperation engine module is used for managing cooperation and communication between agents; and the tool calling module enables the intelligent agent to dynamically call different tools. According to the multi-agent collaboration system, the collaboration efficiency among the agents, the flexibility of task decomposition, the adaptivity of tool calling and the intelligent level of user interaction are remarkably improved, and remarkable technical advantages and effects are shown in complex task processing and dynamic environment processing.

The invention relates to the field of group quality management, in particular to a group quality management system and method based on a dynamic data source. Comprising a data source management module, a quality data acquisition module, a quality data storage and management module, a quality data analysis and statistics module, a quality control and decision support module, a user management and authority control module and a system setting and management module which are connected through data interfaces, the data flow, the use frequency and the updating condition are monitored, and an early warning mechanism for data source connection abnormity, data access timeout and data conflict is arranged. According to the method, data integration and sharing can be improved, the accuracy of data quality is improved, user experience is improved, and safety is enhanced. According to the method, quality abnormity and fluctuation can be quickly and accurately found, targeted control measures are taken in time, quality problems are restrained in the bud state, and defective products and waste products are effectively reduced.

The invention provides a content generation method, which is applied to terminal equipment and comprises the following steps: acquiring input data of a content generation model; uploading the input data to a server through a first routing path; receiving first content returned by the server, wherein the first content is generated by a first content generation model deployed on the server; when obtaining the first content through the first routing path is abnormal, inputting the input data to a second content generation model deployed locally through a second routing path to obtain second content; wherein the number of parameters of the second content generation model is smaller than the number of parameters of the first content generation model. According to the content generation method provided by the invention, when the response of the content generation model deployed at the server side is abnormal, the required content is generated by adopting the locally deployed miniaturized content generation model, so that the content generation service is prevented from being influenced when the network is abnormal or the server is abnormal.

The invention relates to an intelligent office process processing method and system based on a large language model, and belongs to the field of artificial intelligence. Comprising the steps of obtaining enterprise documents; sequentially carrying out document analysis, document cutting and key information extraction on the enterprise document; constructing an enterprise knowledge base based on an ES library according to the extracted content; receiving a user question about the office process; a semantic text block and a keyword text block about the user question are recalled in the enterprise knowledge base, and the semantic text block and the keyword text block are spliced by using a large language model to obtain a user question answer of the user question; taking the user question and the answer of the user question as question-answer pairs, and performing office process work order automatic filling of the question-answer pairs by utilizing a large language model according to a preset work order filling rule; and outputting the filled office process work order. According to the invention, comprehensive intellectualization and automation of the office process are realized, the office efficiency is improved, the error rate is reduced, and the user experience is improved.

The invention relates to the technical field of building design, and particularly discloses an integrated CAD drawing set drawing template system and method, and the system comprises a drawing management module, a template presetting module, a graph reference module, an attribute configuration module, a workflow management module, and a quality inspection module. The drawing management module is used for storing and maintaining all drawings and metadata associated with the drawings and realizing automatic naming and classification of the drawings; the template presetting module is used for generating a template file meeting requirements according to a standard set by a user; the graph reference module is used for automatically introducing related graph files into the layout by using a CAD graph reference system; the attribute configuration module is used for automatically adjusting character information and a layer display state of a drawing according to a drawing environment and an attribute standard input by a user; through the integrated design, the convenient operation process and the abundant preset templates, the problems that a traditional drawing set is high in learning cost and complex in operation are successfully solved, and the drawing efficiency and quality are greatly improved.

The invention discloses an intracavity endoscope cleaning and smoke discharging device which comprises an outer sleeve, a locking fixing base, a self-debugging sealing cap, a first cover body, a second cover body, an inner core pipe, a first choke valve and a second choke valve. The camera is replaced, placed in the device, penetrates through the inner core pipe and ejects the second choke valve at the bottom of the inner core pipe, at the moment, the second choke valve is opened, in the observation process, if the camera is polluted, the camera is pulled into the inner core pipe, at the moment, the second choke valve is closed, the camera is located in the second choke valve, and a water inlet and suction switch is turned on; water flows into the inner core tube from the inside of the outer sleeve, then the water outlet and inlet suction switch is turned on, the water flows are sucked out through large suction force, meanwhile, pollutants are brought out of the inner core tube, the purpose of cleaning the camera is achieved, operation is easy, the learning cost is extremely low, and the working efficiency of doctors is improved.

The invention provides a machine learning modeling platform and method, electronic equipment and a medium. The machine learning modeling platform comprises a data management module, an algorithm library module and a model training module, wherein various machine learning models are stored in an algorithm library of the algorithm library module; the data management module is used for acquiring original training data and performing preprocessing and feature engineering on the original training data to obtain training set data; the algorithm library module is used for obtaining a target model from an algorithm library in response to user operation; wherein the operation of the user comprises one of the following operations: a click operation, a drag operation and an input operation; and the model training module is used for performing model training on the target model by using the training set data based on the distributed computing framework to obtain a trained model. According to the method, the usability of the platform and the calculation efficiency of model training are improved.

The invention discloses a television and set top box integrated control method, device and equipment and a medium, and relates to the technical field of audio-visual equipment control. The method is applied to a television and comprises the following steps: receiving a control signal sent by a remote controller, and determining a control target corresponding to the control signal; if the control signal is used for controlling the television, determining a first control instruction according to the control signal, and executing the first control instruction; and if the control signal is used for controlling the set top box, performing data conversion on the control signal to generate a second control instruction, and sending the second control instruction to the set top box through a universal multimedia interface, so that the set top box executes the second control instruction. According to the technical scheme, the television and the set top box can be jointly controlled through the single remote controller.

The invention discloses a character recognition method and device based on PP-OCRv3 transfer learning, and the method comprises the steps: building a pre-training model based on a PP-OCRv3 network; performing first training learning on the pre-training model through the text recognition public data set to obtain a first model parameter of the pre-training model; substituting the pre-training model into the first model parameter, and performing second training learning on the pre-training model through a digital display screen character data set self-made in a laboratory to obtain a second model parameter of the pre-training model; substituting the pre-training model into the second model parameter, performing iterative training learning on the pre-training model through partial real data and simulation data until the loss function meets a set loss value, completing training learning, and obtaining a trained pre-training model; and inputting the target text image into the trained pre-training model for identification processing, and outputting an identification result. The method effectively reduces the influence of the environment on the recognition performance, and improves the recognition accuracy and speed.

The invention discloses a video editing system for artificial intelligence teaching, which comprises an editing source material determination module, a source material content learning determination module, a video editing mode determination module, a video editing execution module, an editing result evaluation module and a user interaction module, and relates to the technical field of artificial intelligence. According to the video editing system for artificial intelligence teaching, through integration of intelligent screening, classification, deep learning and automatic editing technologies, operations of preliminary screening, content analysis, editing mode determination, special effect addition and the like of a large number of video materials can be automatically completed. Therefore, the workload of manual editing is greatly reduced, and the accuracy and efficiency of video editing are remarkably improved. Meanwhile, the system supports touch operation and voice control, the editing process is further simplified, and the teacher can make high-quality teaching videos more quickly and conveniently.

The utility model discloses a glucometer with test paper and a blood taking needle. The glucometer comprises a shell, a test paper outlet is formed in the upper end of the test paper box body; the blood taking needle box body is mounted in the shell; the test paper push-out assembly comprises a sliding block, a first spring, an elastic piece, a first limiting piece, a second limiting piece and a push block, one end of the first spring abuts against one end of the sliding block, the other end of the first spring abuts against the shell, one end of the elastic piece is fixed to the sliding block, and the first limiting piece is fixed to the other end of the elastic piece; the second limiting piece is fixed to the upper surface of the elastic piece and located between one end of the elastic piece and the first limiting piece, the first limiting piece is arranged in the second sliding groove, and the pushing block is fixed to the sliding block and extends into the test paper box body; and after the test paper is partially pushed out by the push block, the electrode pins on the test paper are electrically connected with the blood glucose measuring assembly. The test paper box can be filled for one week, and the test paper can be popped out without contact after test, so that the operation and use of the blood glucose patient are greatly optimized.

The invention discloses an automatic testing method and system, and relates to the technical field of software testing. The test method comprises the following steps: establishing communication connection between a script end and a client; the script end compiles an SDK interface automatic test case, packages the SDK interface automatic test case and related information into request information in a Json format, and sends the request information to the client; the client side receives the request information transmitted by the script side, analyzes the request information and determines calling information; the analyzed request information is converted based on the calling information, so that the analyzed request information conforms to the native language type corresponding to the client side; performing SDK interface testing based on the converted request information and calling information, packaging test result data into a Json format, and returning the test result data to the script end; and the script end receives the test result data which is returned by the client and is packaged into the Json format, and generates a corresponding test report according to the test result data.

A device for measuring in-situ drilling rock hardness based on a high-pressure water pressure head comprises a hydraulic power system, a data acquisition system, a test probe and a push rod, the front end of the push rod is connected with the rear end of the test probe; the hydraulic power system comprises a manual hydraulic plunger pump; the manual hydraulic plunger pump is connected with the test probe through a reversing three-way valve; the data acquisition system comprises a data recorder, a displacement sensor and a pressure sensor, the displacement sensor and the pressure sensor are arranged on the manual hydraulic plunger pump, and the displacement sensor and the pressure sensor are connected with the data recorder through a signal receiver. The device is simple in structure, convenient to operate and capable of measuring the rock strength of different drill holes, different depths and different point positions so as to obtain the distribution condition of the roadway rock strength, the measuring result is close to the on-site rock mass, a water medium is used for pressure transmission, the measuring process is simple, convenient, environment-friendly and safe, errors in the processes of sampling, processing and the like are avoided, and the working efficiency is improved. And the measurement cost is reduced.

The invention discloses a mining gap equipment discovery method based on OpenHarmony. The mining gap equipment discovery method comprises the following steps that S1, a rendering process sends message data to a preloading layer; s2, the preloading layer sends the message data to a host process; s3, the host process judges to execute an Ethernet discovery mode or a usb discovery mode after monitoring the message data; s4, when it is judged that the Ethernet discovery mode is executed, executing a netDiscover script, calling an hdc.exe program file, and executing an Ethernet device discovery program to discover information of the gap device; s5, when it is judged that the usb discovery mode is executed, executing a usb Discover script, calling an hdc.exe program file, and executing a usb device discovery program to discover the information of the gap device; s6, feeding back the found information result of the swan equipment to the host process; s7, the host process sends the information result of the swan equipment to the preloading layer; and S8, the rendering process processes and displays the result of the information of the swan equipment.

A feature library construction method, the method comprising: obtaining a first file sample set, the first file sample set comprising a plurality of file samples and a cleaning level of each file sample; extracting a feature word that can affect the cleaning level of each file sample from each file sample in the first file sample set; filtering the extracted feature words to obtain a plurality of effective feature words; setting a weight of each effective feature word, and constructing a feature library for recommending the cleaning level of a file according to each effective feature word and the weight of each effective feature word.

The invention relates to a self-adaptive seat massage system and method based on gesture and voice interaction. The system comprises a pressure sensing array used for detecting and positioning pressure distribution and a dynamic pressure sequence applied to the surface of a backrest; the voice acquisition module is used for receiving a voice instruction of a user; the main control module is used for preprocessing the collected voice signal, operating a preset voice recognition algorithm, performing feature extraction and instruction matching on the digital voice signal, recognizing and analyzing a preset effective instruction, generating a standardized control signal, outputting the standardized control signal to a control interface of the massage execution module, and performing instruction fault tolerance and verification; the massage execution module is used for receiving a control signal output by the main control unit of the voice acquisition module, and converting the control signal into a power signal capable of driving an execution unit to work through a driving unit; interaction is natural and visual, an optimal interaction combination of gesture positioning and voice fine tuning is formed, and operation is smooth and efficient.

The invention relates to the technical field of interface management, and discloses an interface data processing method and system based on a visual page and electronic equipment. According to the application, a response parameter structure and a data processing rule of a target interface are respectively acquired through a visual page, a rule script is generated by adopting JSONPath according to the response parameter structure and the data processing rule which are converted into a JSON format, data processing is performed on a response parameter value of the target interface by utilizing the rule script, and a response result is obtained. Compared with development through a data processing tool and obtaining a response parameter structure and a data processing rule through a visual page, the operation threshold is reduced, meanwhile, data of different interface formats are unified through JSON and JSONPath, the data processing rule is unified for different interface types, and the data processing efficiency is improved. Therefore, the learning difficulty of interface data processing is reduced from two aspects, the learning cost is reduced, and the interface data processing efficiency is improved.

The application discloses a CPU firmware interactive verification method and system based on a TCL script transparent routing, relates to the field of integrated circuit EDA verification tools, and discloses that in existing SoC verification, a TCL script cannot transparently route a command to CPU firmware in simulation, thereby causing a local command and a firmware command to be called in a split mode. The application intercepts a user command through an unknown hook of TCL and writes the user command into a simulation global variable; a SystemVerilog unified distributor inquires a command type mark table; if the command is a local command, the local command is directly executed; if the command is a CPU command, the CPU command is sent to CPU firmware through a shared memory mailbox; CPU firmware analyzes and executes the CPU command, returns a result to the mailbox, writes the result into a TCL global variable through an SV layer, and presents the result to a user. The application enables the user to not distinguish a command execution subject, supports mixed parallel execution, four SV-CPU synchronization modes and timeout protection. The application significantly improves simulation verification efficiency and reusability of a SoC chip containing a CPU core, and reduces a verification environment integration threshold.

The utility model discloses a portable equipment of vehicle-mounted instrument program offline download belongs to the field of automobile electron technique, including shell, control panel, state indicating unit, connecting wire bundle and man -machine interaction unit, and control panel fixed mounting is in the shell inside, and state indicating unit sets up in the shell surface, and connecting wire bundle one end is electrically connected with control panel, and the other end is from the shell inside and stretches out, and man -machine interaction unit sets up in the shell surface, and state indicating unit is electrically connected with control panel, the control panel includes MCU module, CAN communication module, external interface, power module, LED module, touch module, NOR FLASH module and USB communication protection interface, can be offline operation completely, through built -in large capacity NORFLASH storage program file, gets rid of the dependence of PC, notebook computer and so on host computer equipment, has promoted the portability and flexibility of field operation.

The invention discloses a live-action three-dimensional geological outcrop route roaming method, and relates to the technical field of network geographic information. The method comprises a geological outcrop route construction logic process and a geological outcrop route roaming logic process which are sequentially carried out after geological outcrop data acquisition, modeling and storage are completed, the geological outcrop route construction logic process comprises a geological outcrop model screening sub-process, a geological outcrop hot spot screening sub-process, a geological outcrop model and hot spot sorting sub-process and a geological outcrop route storage sub-process; the geological outcrop route roaming logic process comprises a geological outcrop route macroscopic preview sub-process, a geological outcrop model and hotspot display sub-process and a geological outcrop model information display sub-process, so that a user can carry out good'cloud science 'geological investigation, and friendly operability and three-dimensional interactive experience are achieved; and therefore, the real-scene three-dimensional geological outcrop route roaming requirement of the user can be met, and practical application and popularization are facilitated.

The application discloses a creep life prediction method for a nickel-based single crystal alloy considering a primary orientation deviation angle, and comprises the following steps: S1, acquiring a primary orientation deviation angle of a sample; S2, performing a creep test on the sample to obtain creep test data; S3, establishing a creep constitutive damage equation, constructing a correlation formula of a primary orientation deviation angle influence factor and the primary orientation deviation angle, and introducing the primary orientation deviation angle influence factor into a material degradation term in the creep constitutive damage equation for correction; S4, calibrating undetermined parameters in the corrected creep constitutive damage equation by using the creep test data; and S5, establishing a finite element model of a nickel-based single crystal high-temperature alloy sample based on the calibrated creep constitutive damage equation, and calculating the creep life of the sample by using the finite element method. The application changes the influence of the primary orientation deviation on the creep life from "systematic theory coupling" to "engineering precise quantification", and is more suitable for actual engineering application requirements.

The invention discloses a PLC programming environment based on a web technology stack and a construction method thereof, and relates to the field of industrial intelligent control, and the PLC programming environment comprises an expansion framework module, a user interface module, an equipment management module, a communication protocol module, a project management module and a monitoring debugging module. The PLC programming environment adopts a VS Code expansion architecture, integrates a modern Web technology, and constructs a graphical PLC integrated development environment. The environment supports the functions of PLC project management, task programming, equipment configuration, bus management, real-time monitoring, variable debugging and the like. The problems that a traditional PLC programming environment is insufficient in expansibility, poor in user experience and the like are solved, and the problem that different manufacturers lack a unified development platform is solved.

The embodiment of the invention discloses a touch signal processing method, electronic equipment and a storage medium. The method comprises the following steps: identifying the type of a touch operation for generating touch data in a driving layer, packaging the specific type into a touch data packet, distributing the received touch data packet according to the type of the touch operation recorded in the touch data packet after a system layer receives the touch data packet, and directly performing writing operation or control operation according to the type of the touch operation. The user can directly perform writing operation and automatically enter the operation interface of the writing operation from the control operation, so that the interaction efficiency is improved.

The invention belongs to the technical field of metal material quality test and evaluation, and discloses a primary magnesium ingot internal inclusion level evaluation method and system.The method comprises the steps that firstly, the hydrogen evolution rate and the characteristic low-frequency impedance modulus value of a primary magnesium ingot to be tested are obtained; and then the level of the inclusions in the primary magnesium ingot to be tested is evaluated through the hydrogen evolution rate, the characteristic low-frequency impedance modulus value and the pre-constructed hydrogen evolution-impedance collaborative response criterion, and the method is easy and convenient to operate, short in test period, low in cost and high in accuracy. The method can be used for rapidly identifying the extremely inferior magnesium ingot with components meeting requirements and a large number of densely distributed inclusions inside without depending on microscopic analysis, is suitable for quality monitoring and supplied material acceptance in the production process, and has remarkable industrial practical value.

The invention provides a five-point brightness calibration upper computer matched with multiple interfaces, and relates to the technical field of brightness calibration, and the upper computer comprises a communication interface module which is used for being connected with a display screen to be detected; the calibration frequency control module is used for changing the calibration frequency; the backlight brightness calibration module is used for five-point backlight brightness curve calibration, and five points meeting the backlight brightness requirement are selected for one-to-one calibration by adopting a five-point brightness calibration algorithm; the data processing module is used for processing the data; and a data storage module. The five-point brightness calibration algorithm is adopted, compared with a traditional two-point light calibration algorithm, the five-point brightness calibration algorithm can more accurately adapt to different brightness change conditions, the communication interface module provides four calibration interfaces of a serial port, a USB, a CAN and a network, the five-point brightness calibration algorithm can be widely adapted to various types of display screens to be detected, and the detection accuracy is improved. The calibration frequency control module allows a user to change the calibration frequency at will according to actual requirements.

The invention provides a radiation heating virtual test platform design method and a test platform, and relates to the technical field of simulation platform design. The design method comprises the following steps: performing script secondary development through ANSYS SpaceClaim software to realize parametric modeling of the quartz lamp heater; a grid generation tool used for grid division is optimized, and the size and distribution of grids are controlled; a heat conduction analysis module is designed, fluid mechanics simulation is conducted by means of Fluent software, and the heat conduction process between the airflow and the heater is analyzed; designing a joint simulation mode of Matlab and fluent to realize closed-loop simulation of a quartz lamp radiation model control temperature system; and carrying out modular design on the user interface. By means of a computational fluid mechanics method and an optimization algorithm, the simulation precision is improved, parametric modeling of a thermal test device can be achieved, the flexibility and expansibility of the system are improved, and a Matlab and fluent joint simulation mode is designed to achieve closed-loop simulation of a quartz lamp radiation model control temperature system.

The present invention proposes a quantum-classical hybrid machine learning model construction system, which includes a data set unit, a computing layer unit, an automatic differentiation unit and a model training unit. The data set unit provides optional data set loading services, data set preprocessing services and encoding services to generate a target training set. The computing layer unit builds an initial machine learning model based on the classical and quantum computing layers selected or customized by the user. The automatic differentiation unit provides optional loss function configuration services and differentiator configuration services and automatically configures the classical differentiator based on the initial machine learning model. The model training unit provides classical optimizer configuration services, classical scheduler configuration services and training method configuration services and trains the initial machine learning model into a target machine learning model based on the user's selection. At the same time, in the forward and backward propagation processes of the model training, the gradient information of the machine learning model is automatically updated.

The application discloses a kind of banking data processing method, system, terminal equipment and readable storage medium, it is related to banking data processing field, the banking data processing method of the present application includes: by uniform syntax specification, generate the database modeling requirement information of multiple different databases;According to the database modeling requirement information of each database, and in combination with uniform logic modeling structure, establish banking professional knowledge base;Acquire the banking data to be processed, by banking professional knowledge base, the data logic model corresponding to banking data is translated into the data physical model corresponding to banking data;According to data physical model, generate the modeling statement adapted to each database;Modeling statement is input to the database environment corresponding to each database and is executed, obtains the result of analyzing and processing banking data.Processing analysis efficiency of banking data can be improved and cost is reduced by using the present application.

The invention relates to a method for constructing a river crab knowledge question-answering system Crab KB, which comprises the following steps of: acquiring data to obtain an original text, generating a question-answering pair by utilizing the acquired original text, and extracting document blocks from the acquired original text; performing quality evaluation and screening on the original text and document blocks; and continuing to perform pre-training and supervised fine tuning on the evaluation model, and continuously optimizing and updating the evaluation model to obtain the river crab knowledge question-answering system Crab KB. The beneficial effects of the invention are that a river crab knowledge question-answering system Crab KB which meets the requirements of daily learning, maintenance, management, brand maintenance and the like of river crab farmers is constructed, and the training and learning costs of the river crab farmers can be reduced; through more refined model training and using strategies, the problems that an existing river crab knowledge question-answering system lacks deep understanding of knowledge in a specific field, a local knowledge base is difficult to integrate effectively, the knowledge base is difficult to maintain and the like can be solved.

The embodiment of the application discloses a function adjusting method, the method comprises: acquiring first radar data, and starting a fine adjustment function when a duration of a first gesture indicated by the first radar data exceeds a first threshold value, and fine adjustment of a target function can be performed based on a second gesture indicated by second radar data. The application uses the duration of the gesture as the basis for whether to start the fine adjustment mode, so that the gesture category used by the independent gesture function and the wake-up gesture can be overlapped, and the gesture category required when the gesture implemented function is adjusted can be reduced.