324 results about "Usability" patented technology

The invention relates to the technical field of computer aided design, in particular to a text-driven CAD modeling method and system based on a diffusion and visual language model.The method comprises the steps that natural language text description is obtained, and CAD semantic features of the natural language text description are extracted; carrying out geometric standardization on the CAD semantic features by adopting a fine-tuning diffusion model, and generating a CAD view image conforming to engineering specifications; carrying out fusion by adopting a fine-tuned visual language model to generate a parameterized CAD construction sequence; a three-mode alignment mechanism is adopted, and the semantic consistency of the CAD semantic features, the CAD view images and the CAD construction sequences is checked; performing verification and post-processing on the CAD construction sequence, and outputting an executable Python code or STEP file; the CAD modeling method disclosed by the invention performs explicit modeling based on flexible modal description, and has the characteristics of high geometric constraint and high usability.

The invention belongs to the technical field of big language model security, and particularly discloses a defense method and system for big language model cue word attack, a terminal and a medium. Comprising the steps of receiving information content input by a user, and generating a plurality of detection input copies based on a preset rule; inputting the copies into mutually independent detection processes in parallel to obtain a plurality of risk scores; constructing a comprehensive risk score based on the risk score, and determining a risk level of the input content according to the comprehensive risk score; when the risk level falls into a defense triggering interval, executing an active defense strategy, and implementing instruction confusion, semantic dilution and structural isolation processing to generate first output content; when the risk level is below a pass threshold, second output content is generated based on the user original input. According to the method, on the premise that normal interaction experience is not affected, fine-grained, controllable and dynamic safety protection can be carried out on multi-type cue word attacks, and the overall safety and usability of a large language model are improved.

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

The invention provides a humanoid robot data set quality evaluation method and a humanoid robot data set quality evaluation system based on multi-dimensional evaluation, and provides a systematized and standardized evaluation process aiming at the quality problems of the existing robot multi-modal data set in the aspects of normalization, integrity, accuracy, consistency, timeliness, accessibility, availability and the like. According to the method, an automatic tool is combined with manual auditing, the structure, metadata, annotation content, data formats, multi-modal alignment and the like of a data set are comprehensively detected, a deep learning algorithm is introduced to achieve detection of pornographic pictures and sensitive words of visual content, and content safety and compliance are effectively improved. The system can flexibly adjust the weight of each evaluation dimension according to different application scenes, automatically generates a quality evaluation report, and supports continuous monitoring and optimization and improvement. Practical application shows that the method can significantly improve the overall quality of the robot data set, and provides reliable data basis and technical support for intelligent training and application of the robot.

The invention provides a robot task planning method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a natural language instruction of a user; determining a task target based on the natural language instruction and scene context information; constructing a semantic map based on the environment data and the visual identification and relation reasoning result; based on the task target and the semantic map, generating an action sequence through a formalized planning engine; and controlling the robot to execute the action sequence. By adopting the method, the usability, accuracy and reliability of robot task planning can be improved.

The invention discloses an intelligent interface service generation method and system based on a multi-large-model collaborative architecture, and the multi-mode large model integrates the advantages of a semantic analysis large model, a code generation large model and a knowledge enhancement large model, and can operate cooperatively. Wherein the large semantic analysis model is responsible for converting a natural language input by a user into a structured demand element of an interface, so that the usability of interface generation is improved; the large code generation model is responsible for generating an interface according to the structured demand elements and continuously optimizing the interface according to the running log and performance data of the interface, so that self-inspection and self-correction of the interface are realized; the knowledge enhancement large model is responsible for generating a knowledge graph according to information such as generation, operation and exception handling of the interface, providing reasoning ability based on the knowledge graph, and realizing intelligent recommendation of the interface.

To improve usability for obtaining content to be arranged in a product in an information processing apparatus for generating data of the product such as a poster.SOLUTION: The first prompt determined by the determining means when the receiving means has received a first target impression is different from the second prompt determined by the determining means when the receiving means has received a second target impression that is different from the first target impression. The information processor is provided with a receiving means that receives a user's designation of a target impression, which is an impression that the product is ultimately required to hold, and a determining means that determines a prompt for the generation AI to generate content to be arranged in the product.SELECTED DRAWING: Figure 2

To improve the usability of application programs. [Solution] A program including a first application program for communicating with a communication device, which causes a computer of an information processing device having an operating system to execute: an acquisition step in which the first application program acquires a password for an access point outside the information processing device and outside the communication device, which is managed by a second application program different from the first application program, via the file sharing function of the operating system called by the second application program; and a first transmission step in which the first application program transmits connection information, including the password acquired via the file sharing function of the operating system, to the communication device.

The invention relates to a dialogue type visual chart generation method and system, belongs to the technical field of application intelligence, and solves the problems of low security and poor usability of a BI system based on a large language model in the prior art. The method comprises the following steps: receiving a visual chart generation demand input by a natural language of a user; enterprise database configuration information related to the demand is extracted from a pre-configured refined business knowledge base; using a large language model to generate SQL query statements meeting requirements according to enterprise database configuration information and general query constraint conditions; executing the SQL query statement in the enterprise database to obtain structured data of a query result; and generating the structured data into a visual chart meeting the requirements by using a large language model. According to the method, automatic adaptation of the large language model and the enterprise database is realized through multi-module collaborative optimization, and the user experience is improved while the safety of the enterprise database is ensured.

The invention discloses a GRU-based vehicle-mounted CAN intrusion detection method and system, a storage medium and a computer system. According to the method, an automatic encoder (AE) is introduced to deepen the understanding of a model on input sequence characteristics, a sliding window is used for selecting batch CAN data to be preprocessed to obtain 13-dimensional time sequence data, and a scalar value within the range of [0, 1] is obtained through processing of the encoder, a GRU, a decoder, a full connection layer and a sigmoid activation function and used for classification of abnormal data. The Conv1D is used as a hidden layer, and compared with two-dimensional convolution, the one-dimensional convolution parameter quantity is smaller, and the calculation is simpler and more convenient. An attack message and a normal message can be completely distinguished, the precision and the accuracy rate reach 100%, and the precision in Fuzz detection is 0.9983; compared with the prior art, the method has high accuracy and reliability in the aspect of intrusion behavior detection, can effectively identify most intrusion events, and can keep a relatively low overall error rate, so that good balance between safety and availability is realized.

The invention discloses a middleware-based cloud rendering method and a middleware system, and relates to the technical field of cloud rendering, and the middleware-based cloud rendering method comprises the following steps: creating an application instance, loading the application instance to a cloud rendering platform system, and starting a three-dimensional rendering task; a three-dimensional rendering task is scheduled and allocated through a resource management and scheduling module of the cloud rendering platform system according to the resource use conditions of the load and the server; receiving a three-dimensional rendering task through middleware, and transmitting three-dimensional rendering data of the three-dimensional rendering task between a client and a Web server through a two-way communication module of the cloud rendering platform system to realize real-time communication; and under the condition that the three-dimensional rendering task is finished, waiting for a next rendering task instruction. According to the method, the resource management and operation and maintenance process in the containerized environment can be effectively optimized, and the expandability, stability and usability of the system are improved.

A data analytics system uses a grid-based data structure to improve the usability of LLMs in the analysis of large data sets, to synthesize information for use in other generative AI contexts, and to improve a user's ability to interface with an LLM. A grid-based data structure is a data structure or database that stores the results of column prompts applied to sources. The grid-based data structure may store the results in a relational manner. For example, a grid-based data structure may have rows that correspond to sources (e.g., documents, files, or databases) and columns that correspond to prompts. Each cell of the grid-based data structure stores the output of the column prompt applied to a source using an LLM. Thus, each column prompt may be systematically applied to each source to generate information based on the sources in an organized way.

The embodiment of the invention provides an address matching method and related equipment, and belongs to the technical field of natural language processing. The method comprises the following steps: receiving an original address input by a user; correcting and optimizing the original address through the fine-tuned large language model to obtain standardized output; performing address matching on the standardized output based on the candidate address data through a distributed search engine to obtain an address matching result, the address matching result comprising a plurality of standard addresses and a plurality of standard address codes; and analyzing the address similarity between the original address and the standard address, adding the standard address of which the address similarity is greater than or equal to a completely consistent threshold value into a target address list, and returning the target address list to the user equipment. According to the embodiment of the invention, automatic semantic error correction and search engine matching can be realized, the site selection accuracy, the system usability and the user experience are improved, and the service efficiency and the decision precision are improved.

The invention provides an enterprise-oriented MCP-combined AI service unified management method and system in the technical field of enterprise information technology management and artificial intelligence application. The method comprises the steps that S1, a server registers all models as AI services in a unified mode; s2, the AI gateway obtains an AI task request sent by an employee terminal to perform identity authentication, and matches authority information; step S3, interacting with the server through the load balancing and security gateway, querying AI services of which authority information can be called, and pushing the AI services to a visual interface of an employee terminal; s4, arranging each AI service by the visual interface based on the triggered drag signal and click signal to generate an AI task, and sending the AI task to a load balancing and security gateway for execution; s5, in the AI task execution process, an abnormal event is captured to give an alarm; and S6, recording an execution log in real time. The method has the advantages that the centralization, the safety and the usability of AI service management are greatly improved.

The invention provides an automatic classification and analysis method and system for network equipment configuration files, and belongs to the technical field of network file analys.The method comprises the steps that an original configuration file is obtained from a heterogeneous data source; converting the obtained original configuration into an analysis-friendly standardized format; analyzing the converted standardized format, generating an analysis file, and performing multi-dimensional quality monitoring on the analysis file; and converting the monitored analysis result into a format available for a downstream system for subsequent data analysis and integration. According to the method, through a multi-layer template extraction mechanism and nested rule definition, the semantic hierarchical structure of the configuration file can be accurately restored, the common problems of structure flattening and semantic loss in a traditional analysis method are avoided, and the accuracy and availability of an analysis result are improved; by means of a template forest architecture and an automatic classification algorithm, equipment configurations of different manufacturers and models are dynamically identified and adapted, the universality and expansibility are improved, and the integration complexity in a multi-manufacturer environment is reduced.

The invention belongs to the technical field of code generation, particularly provides a large model tool calling method and system based on demand awareness, and aims to solve the technical problems that an existing code generation system lacks an active tool calling capability and cannot automatically select a proper tool according to information loss. According to the method, an information demand identification model, a tool mapping knowledge graph and a self-adaptive scheduling strategy are constructed, so that a large language model can actively identify an information gap in the code analysis and generation process, and an external tool is automatically selected and called to obtain required context information. The core of the system comprises four modules, namely a demand awareness engine, a tool selection decision maker, a multi-modal information fusion device and an iterative optimization feedback mechanism. By introducing an information missing detection algorithm based on an attention mechanism and a hierarchical tool calling planning strategy, the system can realize intelligent processing from a single file to a warehouse-level code task, and the accuracy and availability of code generation are remarkably improved.

The invention discloses a code change generation method based on a multi-agent proxy library migration scene, which can accurately locate all code action ranges related to library migration in a file range by performing structured analysis on a source code file and combining source library import information and code feature recognition, and can improve the code change generation efficiency. The problems of omission and misjudgment caused by manual analysis or simple rule matching are avoided, and the integrity and accuracy of migration site recognition are improved. According to the method, the corresponding migration plan is generated by combining key information of the source library and the target library aiming at the identified action range to be migrated, so that the code change process is not limited to simple interface replacement any more, targeted adjustment can be performed according to a specific use scene, and the consistency of migrated codes in terms of semantics and behaviors is ensured. According to the method, through a collaborative code change generation and verification mechanism, the code change related to library migration is automatically generated and evaluated, and the reliability and availability of a generation result are improved while manual intervention is reduced.

The invention discloses a double-engine distributed performance testing method and system. The method comprises a test node service, a Kafka message queue, a data processing service, a data storage service, a registration center and a platform management module, supports JMeter and Locust double test engines, adopts a distributed architecture and containerized deployment, and realizes scheduling of test tasks, real-time data processing, log acquisition and unified management. The method is suitable for enterprise-level performance test scenes, and has high expansibility, usability and real-time performance.

This application relates to a method, system, device, and medium for fine-tuning a multimodal large language model, belonging to the interdisciplinary field of artificial intelligence and computer vision. The fine-tuning method includes: acquiring original business scene images and preprocessing them to obtain preprocessed images; using annotation tools to annotate bounding box coordinates and define semantic labels for entity targets in the preprocessed images, outputting a structured annotation file; constructing a training sample set including multi-turn text-image dialogue based on the preprocessed images and the structured annotation file; loading the pre-trained multimodal large language model, configuring low-rank matrix factorization parameters, and generating a fine-tuning instruction set; inputting the training sample set into the pre-trained multimodal large language model, performing joint training operations based on the fine-tuning instruction set, and outputting the fine-tuned multimodal large language model. This application improves the recognition accuracy, interaction capabilities, and system usability of visual question answering systems in practical application scenarios.

The application is a federated learning out-of-distribution generalization method based on causal inference, and belongs to the technical field of edge intelligent devices. The method comprises the following steps: constructing a federated learning framework to train a task model, in each round of training, a server sends a global task model parameter and a global prototype library to a client participating in training; the client trains a local model by using a local sample, obtains individualized features and global features of the sample by a decoupling representation learning module, and obtains causal features after removing pseudo-association by a mixed factor removing training module; the client sends updated model parameters and various local prototypes to the server; the server updates the global prototype library and the global model parameter by using a hierarchical update strategy module; the training is repeated until a convergence condition is met, and the obtained global task model is deployed to a new device for use. The application improves the generalization ability of the task model when facing invisible distribution data, and ensures the usability and applicability of the task model.

To improve the usability of content when providing it. [Solution] The information processing device according to the present invention comprises an acquisition unit, a calculation unit, and a provision unit. The acquisition unit acquires information on a target article that is subject to evaluation of its social impact, and user information concerning users who have viewed the target article. The calculation unit calculates an impact score indicating the degree of social impact that the target article has, based on the information on the target article and the user information. The provision unit provides information on the impact score along with the information on the target article.

This invention provides an information processing system, a control method for the information processing system, and a program to improve usability in tutorials. [Solution] The information processing system includes a display control means that, in one of the multiple steps included in the tutorial, indicates an input item into which the user should input information, and controls the display of a copy item in the guide area that accepts instructions to copy the information to be entered into the input item, and a control means that copies the copy item in response to the operation of the copy item, and inputs the copy item into the input item in response to a paste operation on the input item.

The present disclosure discloses a handle arrangement and a method for controlling a handle arrangement, the handle arrangement comprising a base, a detection device, a handle, a detected component, and a control device. The base defines a base cavity. The detection device is arranged in the base. The handle is movable relative to the base. The detected component is arranged in the handle. The control device is communicatively connected to the detection device. The detection device is configured to detect a distance between the detected component and the detection device and to send a detected distance value to the control device, wherein the control device is configured to send different signals according to the distance value detected by the detection device.The handle arrangement of the present disclosure is capable of determining the current position of the handle from the positional relationship between the detection device and the detected device. Furthermore, the handle arrangement of the present disclosure is capable of simultaneously detecting the positions of the detected device and the hand, thereby controlling the handle. This helps the user to operate the handle without touching a handle body, thus improving usability.

The application discloses an automatic boring control system for automobile parts, and relates to the technical field of machining equipment control.The application solves the technical problems of insufficient automation, lack of intelligent fault diagnosis and early warning function, and unfriendly man-machine interaction interface; through a workpiece state monitoring module and an intelligent parameter adjustment module, workpiece appearance and machining data are collected and analyzed in real time, the feed speed, cutting depth and spindle speed are automatically adjusted, the machining precision is effectively improved, and the production error is reduced; a fault diagnosis and early warning module is combined with a fault mode library, potential faults such as machine tool vibration, tool wear and workpiece deformation are identified in real time, and an alarm and cutting parameters are automatically triggered, so that the equipment fault risk and production loss are reduced; a man-machine interaction feedback module reduces the operation complexity, improves the universality and ease of use of the system, enhances the adaptability of the system among different operators, and further promotes the popularization and application of the system.

A system, method, and computer-program product includes obtaining application configuration data; computing, via an execution of a designed experiment, a plurality of application usability tests based on the application configuration data; generating a computer-executable application based at least on the plurality of application usability tests; and deploying the computer-executable application to a target computing environment for execution by one or more users.

A component editing method and apparatus in a game, and an electronic device. The method comprises: in response to a first editing operation, generating a target constraint component in a game editing scene, wherein the target constraint component is configured with a virtual model which matches a target constraint effect; in response to a second editing operation, determining component attribute parameters of the target constraint component, and a first scene component and a second scene component which are associated therewith, wherein the target constraint component is configured to constrain a motion relationship of the first scene component and / or the second scene component on the basis of the component attribute parameters; and in response to a game running instruction, generating, in a graphical user interface, a game running scene that corresponds to the game editing scene and comprises a first scene component model and a second scene component model. In the method, a player can generate, in a game editing scene, a constraint component having a model shape, and can edit component attribute parameters of the constraint component, such that the constraint component having a constraint effect achieves greater visibility and usability in use.

This invention provides a store equipment control system that can improve user convenience (usability) in the settings related to the operation of store equipment. [Solution] This store equipment control system 100, 110 comprises: a plurality of store equipment 3 located in the store 90 and powered by electricity; a control device 1 installed in the store 90, configured to monitor the power usage and operating status of the plurality of store equipment 3 and to control the operation of the plurality of store equipment 3, and to perform operations on each of the plurality of store equipment 3 by receiving operation input from the user; and portable terminals 2, 2a, 2b, 2c, 2d that can communicate with the control device 1 and receive operation input from the user for performing operations on each of the plurality of store equipment 3.

A method and system for intelligent management of equipment availability based on digital calibration certificates, belonging to the field of metrology and testing technology. The system includes a digital calibration certificate server, a digital calibration certificate authentication module, an intelligent gateway, and a host computer. By uploading the digital calibration certificate of the measuring equipment to the digital calibration certificate server, and after authentication, the host computer accesses the digital calibration certificate to obtain basic equipment information, certificate release date, and calibration results. Combined with the association information between the intelligent gateway port stored on the server and the equipment usage requirements, the management of measuring equipment values ​​and product quality management are highly integrated in time and space. The system determines the availability of equipment and disables or restricts data transmission from measuring equipment that does not meet management requirements, restricts the measuring equipment's access to the measurement network, and issues alarms for corresponding measuring equipment faults via the host computer.

Computer-implemented method for providing map data (K) with functional usability information (I), in particular for functionally optimized route planning, wherein the method comprises the following steps: - Acquisition of function usage data (D) in a vehicle (10) which has a driver assistance system (11), in particular by retrieving data from at least one control unit and / or sensor of the vehicle (10); - Transferring the function usage data (D) to a database (21); - Evaluating a large number of data records (D1, D2, ..., D10) from the database (21) to generate at least one, in particular numerical, functional usability information (I) for at least one road section (L); and - Providing map data (K) containing at least one road segment (L) and at least one function usability information (I), wherein the function usage data (D) contains at least the following: a time reference, a GPS position and status information describing a state and / or a change of state, in particular activation or deactivation, of the driver assistance system (11), wherein the evaluation of the plurality of data sets (D1, D2, ..., D10) comprises the following steps: - Determine a selection set of data records (D1, D2, ..., D10) that are associated with at least one road segment (L); - Classify the data records (D1, D2, ..., D10) in the selection set into at least one first class and one second class; - Calculating the proportion of data records (D1, D2, ..., D10) in the selection set that were classified as elements of the first class; - Generating at least one functional usability information (I) based on the calculated proportion, wherein the evaluation of the multitude of data records (D1, D2,..., D10) further comprises the following step for each data record (D1, D2,..., D10) from the multitude of data records (D1, D2,..., D10): - Calculating a weighting factor depending on the time specification of the data set, wherein the weighting factor is inversely proportional to the age of the data set; and wherein the generation of the functional usability information (I) is further based on the weighting factors, in particular using a regression analysis.

The application belongs to the technical field of device control, and particularly relates to a device control method and device, a computer readable storage medium and a terminal device. The method comprises the following steps: in response to a user operation instruction, displaying a system hardware expected value indicated in the user operation instruction; and acquiring a system hardware current value in real time and displaying the system hardware current value. Through the above method, the system hardware current value and the system hardware expected value are represented separately, and the understanding deviation of a user that the system hardware current value is the expected value is fundamentally eliminated, the user experience is improved, and the method has strong ease of use and practicability.