142 results about "User friendliness" patented technology

The invention provides a long-range visual question and answer and multi-modal reasoning task agent construction method. For input images and natural language questions, generating answers through orderly calling of an external tool set; the construction process of the intelligent agent is divided into three stages: a global planning stage: analyzing user requirements through a global planning navigator, and screening tool subsets; in the tool autonomous execution stage, visual details are supplemented, background knowledge is retrieved and accurate operation is carried out in the multi-step process by surrounding three types of tools through a tool autonomous executor, and a returned tool result is used for assisting the next step of decision making; in the response synthesis stage, the reasoning process is combed through a model response synthesizer, and user-friendly and clear-format responses are sorted; and finally, the model response synthesis module extracts and obtains answers from the reasoning track and outputs the answers. The problems of global planning insufficiency and visual context forgetting generally existing in complex task reasoning of an existing multi-mode large language model are solved.

This invention relates to systems and methods for real-time dynamic classification and orchestration of test automation components in distributed DevOps environments. The system features an Auto Identify Automation (AIA) engine that leverages supervised learning, Multi-Modal Artificial Intelligence (AI), and Generative AI technologies. It includes a Smart Scenario Designer interface that allows users to author test scenarios using handwriting and voice inputs, which are processed in real-time by AI-driven handwriting recognition, voice recognition, and Natural Language Processing (NLP). The system dynamically suggests relevant automated components via a smart bubble pane, facilitating rapid scenario creation. The architecture is tool-agnostic and scalable, with a Shared Workbench Engine that supports real-time collaboration and conflict resolution. The system continuously adapts and improves, ensuring that the automation suite remains consistent, up-to-date, and aligned with evolving software requirements, enabling efficient and user-friendly management of complex test automation processes.

The invention relates to a reconfigurable equipment simulation system based on software radio, and the system achieves the high-integration, user-friendly and efficient-management reconfigurable equipment simulation system through the modularization and seamless integration of a radio waveform design function, an equipment simulation user operation interface design, a business logic function design and a project management function. Therefore, even if a user does not have a deep programming capability, the user can quickly construct, test, manage and deploy the equipment simulator with complete functions. The system is rich in waveform component and UI component library, customizable in function and good in flexibility, software radio waveform design and equipment simulation are innovatively and seamlessly integrated, automatic non-inductive or manual upgrading can be achieved, the universality is good, various equipment simulators can be designed, the designed equipment simulators have open function expansion, and the system is suitable for popularization and application. And a complete project management process is provided.

The invention discloses a sign language-voice conversion system, and belongs to the technical field of auxiliary communication and wearable computing. The system comprises a wearable myoelectricity acquisition module used for acquiring double-arm myoelectricity signals when a user executes sign language; the mobile terminal module is wirelessly connected with the acquisition module and is used for receiving and preprocessing the signal and uploading the signal; the cloud processing module is used for receiving the signal, converting the signal into text information through a sign language recognition model, and further calling a voice synthesis service to convert the text into voice data; and the wearable audio output module is used for receiving and playing the voice data. Through an innovative end-to-end hardware system architecture, natural, accurate and real-time translation and voice output of sign language gestures are realized, communication barriers between hearing-impaired people and healthy hearing people are effectively solved, and the system has the advantages of flexible deployment, user friendliness and privacy protection.

A system and method are disclosed for interfacing with one or more databases using natural-language queries. The system translates a natural-language input into an intermediate formal representation, such as a Concept Query Language (CQL), which references domain concepts rather than database-specific structures. A data access subsystem maps these domain concepts to database-specific queries using a domain dictionary, enabling seamless translation across heterogeneous databases and database management systems (DBMSs). The system supports distributed data retrieval, error recovery, and dynamic query planning. A presentation subsystem formats the results into user-friendly outputs such as charts or tables. The architecture allows for modular grammar and dictionary configuration, enabling rapid adaptation to new domains, schemas, or user roles without procedural code changes. This approach improves accessibility, maintainability, and scalability of database interactions by abstracting technical complexity from end users.

The present technology is to enable a transmitter device to read appropriate device information (EDID) from a receiver device with a reduced burden on the user. A memory unit that stores first device information and second device information, and a communication unit that communicates with an external device are included. The control unit determines to cause the external device to read the second device information, on the basis of reception of a rewrite signal for the first device information from the external device. It is possible to cause the external device (a transmitter device) to read appropriate device information (EDID) from a receiver device (a reception device) with a reduced burden on the user, and thus, user-friendliness can be increased.

Disclosed herein is a Voice-Enabled AI Chat Agent, optimized for use within web browsers. This advanced AI system facilitates natural, voice-driven interactions, allowing users to engage in conversations through speech instead of traditional text input. It features a sophisticated voice recognition module, a dynamic natural language processing engine, and a versatile role adaptation mechanism, enabling it to assume various user-defined roles such as a tutor, doctor, or counsellor. Designed with an emphasis on accessibility and user-friendliness, this AI chat agent represents a significant advancement in human-computer interaction, making digital communication more intuitive and accessible for a wide range of users.

The application discloses a kind of intelligent SQL generation method and system based on multistage intention recognition, comprising: receiving user natural language query;Vector matching step: vector matching is carried out based on knowledge base, obtain Top-K candidate query object, and knowledge base contains multi-layer structure description information;Large language model intention understanding step: determine final query object in combination with candidate query object description;Load branch workflow, parse field and table structure, dynamically configure database table and field information;SQL generation step: generate SQL sentence in accordance with syntax rule, including automatically adding field, time condition conversion, field priority matching operation;Execute SQL sentence and return result, and record log if it fails to prompt correction.The application provides an efficient, accurate and user-friendly database query solution by natural language processing technology combined with database knowledge base.

The application discloses a kind of low-code application quick construction method, including the following steps: data preparation, application construction, application release, construction is completed, finally generates application module;First, data preparation is carried out, obtains the construction resource data required for application construction, is compressed and uploaded to construction module, then construction module decompresses data and passes through visual construction page, business logic and data structure, to design page design application function in the way of drag and drop.By this method, non-professional personnel can also directly build the application module that oneself needs, improve the application building speed and user-friendly.

The utility model relates to a health monitoring system. The system comprises indoor equipment equipped with a sensor module, a processor in communication connection with the sensor module, and an alarm system. The embodiment of the utility model discloses breakthrough integration of radar technology and artificial intelligence in common household equipment (ceiling fan). The system is composed of a radar module and a decorative antenna housing which are seamlessly integrated, and a fan is converted into cautious and unnoticeable health monitoring equipment. The radar module remotely transmits signals to a monitored area, captures signals reflected from an individual body, and provides continuous real-time data about vital signs such as heart rate and respiratory rate. After the information is processed by the artificial intelligence processor, the system can detect abnormal conditions, and an alarm conveyed to the user through the user interface is triggered. The innovative system can adapt to different living environments and has deployment flexibility, and a new era of comprehensive, continuous and user-friendly health monitoring is created.

The invention discloses an intelligent interactive image encoder automatic optimization method, system, device and medium, which are corresponding schemes: on the basis of the existing deep learning image encoding framework, a combinable supervision optimization function pool and an optimization decision-making mechanism of encoding perception measurement are introduced; flexible optimization meeting user requirements can be supported without performing large-scale reconstruction on a coding structure, so that the model training and system deployment cost is effectively reduced, and good engineering feasibility is achieved; moreover, by constructing an image encoder optimization scheme with intelligent interaction, the user does not need to master the encoding principle, personalized image encoder optimization can be completed through a natural language, and the user friendliness is greatly improved.

A system, and the like, capable of improving user-friendliness when a work machine is diagnosed in a form intended by a user using a terminal device having a wireless communication function, are provided. A second external request signal based on a designated attribute regarding a designated work machine 200 designated through a terminal input interface 101 and a unique identifier read in non-contact manner from a designated component 222 with a non-contact sensor mounted on a terminal device 100 is transmitted to a real machine communication station 210 mounted on the designated work machine 200. Then, a second external response signal representing information regarding the designated component 222 in response to the second external request signal is transmitted from the real machine communication station 210 to the terminal device 100, and the information that is a diagnostic result of the designated component is output to a terminal output interface 102.

The invention discloses a charging pile charging resource reservation optimization and nearby scheduling system based on the Internet of Things, and relates to the field of intelligent traffic and energy management. Aiming at the problems of non-uniform resource distribution of existing charging piles, blind waiting of users, low efficiency of appointment scheduling and system isolation, the system collects state information of the charging piles in real time through the Internet of Things, a central server adopts a multi-parameter optimization algorithm, and optimal resource allocation and nearby scheduling are realized in combination with user positions and charging demands; and a user-friendly interaction and abnormity emergency processing mechanism is matched. Experiments show that the average waiting time of users is reduced by more than 30% (from 18 minutes to 12 minutes), the daily average utilization rate of the charging pile is improved by more than 20% (from 60% to 80%), and more than 90% of users accept the convenience of the system. The system is suitable for urban public charging networks, parks, communities and other scenes, and the resource utilization rate and the user experience are improved.

To provide a user-friendly faucet using a capacitance sensor. [Solution] This invention comprises a water outlet, a control unit that switches between water discharge and water stop from the water outlet, an operating unit that controls the flow rate and / or temperature (mixture ratio of hot and cold water) of water discharged from the water outlet, and a capacitance sensor that detects contact with a human body; if, during water discharge, the change in capacitance of the capacitance sensor exceeds a first threshold and remains below a second threshold that is greater than the first threshold for a certain period of time, water is stopped, and if the change in capacitance of the capacitance sensor exceeds the second threshold that is greater than the first threshold, water discharge continues.

To provide user-friendly electronic devices. [Solution] An electronic device (100) to which a cooling device (200) can be attached and detached, comprising: a receiving means (1331) that receives first information regarding the amount of refrigerant stored in the cooling device by communication with the cooling device; an acquiring means (1332) that acquires second information regarding the operating time of the electronic device using the first information; and a display control means (1333) that displays the second information on a display unit (101).

The application relates to the technical field of software development and compilation, and discloses an APP module firmware compilation updating method, a computer device and a storage medium. When it is monitored that a source code library is changed, a manifest file and a JSON file are combined to compare the stored information of the last time and the present time, so that the code of a module which needs to be recompiled can be compiled every time, unnecessary repeated compilation work can be effectively reduced, the compilation time is shortened, the size of an OTA differential package is accurately controlled, and a more efficient, rapid and user-friendly software updating experience is realized.

Computerized systems and methods for automated AI-driven customer and vendor subdivision and personalized insight delivery are described. The method involves collecting real-time data including purchase behavior and market trends, analyzing it using an AI / ML algorithm for subdivision, and delivering personalized insights through a user-friendly single glass pane user interface (SPoG UI). Transaction details are recorded for continuous enhancement. Based on user feedback and evolved market dynamics, the subdivision effectiveness is monitored and refined. A plurality of data sources and analysis tools are integrated for comprehensive analysis. The user may customize the tessellation parameters, and the delivery options include push notifications and email alerts. The system facilitates continuous optimization and adaptation, thereby enhancing correlation and accuracy.

A system and method for educational investment analysis assists students in making informed decisions regarding their educational and financial futures. User input is captured detailing educational and financial planning, including intended occupation, potential college choices, and funding plans. The user input is integrated with external data on tuition costs, average salaries, and living expenses. Multiple projected scenarios are generated depicting different educational and financial outcomes based on different choices. Evaluative metrics are calculated for each scenario, including return on investment (ROI), debt repayment period, and earning potential. A comparative analysis of the scenarios is conducted and the results are displayed in a user-friendly visual format enabling clear comparisons and informed choices.

The purpose of this disclosure is to improve user-friendliness. A control method includes position detection processing and motion control processing. The motion control processing includes performing control on a motion system (M1) to move at least one of a first power transmission coil (81A) or a second power transmission coil (81B) according to the position of a power receiving coil detected by the position detection processing. The motion control processing includes: a first processing which includes moving a first Y-axis track (6A) along an X-axis track (4); a second processing which includes moving a first power transmitter (8A) along the first Y-axis track (6A); a third processing which includes moving a second Y-axis track (6B) along the X-axis track (4) independently of the movement of the first Y-axis track (6A); and a fourth processing which includes moving the second power transmitter (8B) along the second Y-axis track (6B).

The ParamBlade system provides a highly customizable and user-friendly graphical user interface (GUI) for the 3D design of wind turbine blades. It enables users to generate blade models by using a wide range of aerodynamic profiles (including unconventional profiles) and adjustable parameters. This tool offers a unique flexibility for research and development, both in academic and industrial fields, by allowing rapid design iterations depending on aerodynamic performance needs. The ParamBlade GUI allows users with little programming experience to create sophisticated blade designs (open source code), supporting a range of commercial and aerodynamic research applications.

The present embodiments relate to methods and systems for analyzing and representing the appearance of diamonds, and interactive network-based diamond cutting encyclopedia. These analytical methods involve the use of several unique techniques designed to accurately capture and represent nuance differences of different diamond cuts. Graphical representation converts such complex gemstone data into a format accessible and understandable by non-professional users. Diamond cutting encyclopedia generated by a unique enumeration algorithm provides comprehensive and detailed resources for both experts and amateurs. The present embodiments present a significant progress in the field of gemstone, providing a higher precision, user-friendly interface for diamond analysis, and an efficient method for creating a comprehensive, interactive diamond cutting encyclopedia.

The disclosed invention presents a novel system for distributing trading cards that enhances transparency, consistency in value, and consumer engagement. This system addresses issues prevalent in both primary and secondary trading card markets by allowing consumers to view the exact cards they will receive prior to purchase, complete with specific odds of obtaining each card. Detailed card descriptions, including history and condition, are verified through a rigorous authentication process. The system also features a user-friendly digital interface that displays cards, odds, and comprehensive descriptions, continuously updated based on real-time market analysis and consumer feedback, thereby enhancing the trading card distribution process.

The invention discloses a Chinese big language model evaluation method and a Chinese benchmark evaluation platform, and the method comprises the steps: constructing a comprehensive Chinese benchmark evaluation platform (CLEVA) for measuring the capability of a Chinese big language model, and the platform comprises a capability evaluation part and an application evaluation part; a standardized evaluation method based on prompts is formulated, two aspects of data control and prompts ensure that the evaluated large language model competes on the same level, and a group of prompt templates is provided to standardize the evaluation process; a multi-index evaluation system is adopted to comprehensively evaluate the performance of the model; a ranking list is established by collecting a large amount of new data and regularly organizing and using evaluation rounds of a unique test set. A user-friendly platform is provided to comprehensively evaluate the Chinese large language model, a standardized and automatic evaluation standard is provided for the Chinese LLM, and development and application of the language model technology are promoted. Through a large number of tests, the effectiveness of the CLEVA as a comprehensive evaluation benchmark is verified.

We provide the system. [Solution] A means by which the user enters a question or request via an input device, A means of sending the entered question or request to the server via the internet, A means for analyzing the received request, extracting the necessary parameters, and performing preprocessing, A means for sending pre-processed data to an artificial intelligence model and generating a corresponding response, A means for converting the generated response into a user-friendly format and sending it to the user's device, A system including means for confirming a response displayed on a user device.

This platform features an AI-based text analysis system centered around a BERT (Bidirectional Encoder Representations from Transformers) model, fine-tuned for analyzing academic and industry literature. It includes a user-friendly interface linked to academic databases, enabling efficient retrieval and detailed analysis of pertinent papers. The enhanced BERT model processes these documents, extracting essential information and generating concise summaries, displayed on an interactive dashboard that highlights literature trends and relationships. The system supports multilingual queries and searches conference presentations, enhancing its versatility. A named entity recognition module identifies critical elements like datasets and methodologies. A standout feature is the integration of a Student Information System (SIS), which incorporates data on students' extracurricular activities related to decision-making. This aids educational institutions and employers by providing insights into students' leadership and problem-solving skills. This comprehensive tool streamlines the literature review process and supports informed decision-making through advanced text analysis and integrated student data.

The invention relates to a method for assisting a user in capturing a digital image of a transparent wound dressing preferably for monitoring the healing process of a wound dressed with and visible through the transparent wound dressing, to a method for assisting a user in reviewing digital images of a transparent wound dressing, and to corresponding computer programs and computer readable media. Also, a system for assisting a first user in capturing a digital image of a transparent wound dressing and for assisting a second user in reviewing digital images of a transparent wound dressing is described. In order to enhance both user friendliness and reliability of the digital image acquisition, it is proposed to superimpose an overlay image with visual indications on the digital images currently obtained.

The application provides a model deployment method, a recognition method, a device and electronic equipment, comprising: constructing a service image of a neural network model according to a deployment file of the neural network model; obtaining an inference instance by using a deployment tool of a model deployment platform according to the service image; and generating a web link, an input interface and an output interface of the neural network model according to the inference instance. The model deployment method, the recognition method, the device and the electronic equipment provided by the application can deploy the neural network model according to a deployment file provided by a user by using the model deployment platform, and generate corresponding web links, input interfaces and output interfaces. The user only needs to understand the capability of the model deployment platform and learn to write a configuration file, and can quickly deploy the model by using the model deployment platform, so that the operation is simplified, the model deployment efficiency is improved, the threshold of model deployment is reduced, and the user is friendly.

A user-friendly platform provides a simplified procedure for end users to deploy models that utilize generative AI to perform tasks (hereinafter simply “AI model”) in a deployment environment (e.g. in a data center). Upon selection of an AI model to be deployed, the platform orchestrates deployment and allocation of resources that satisfy hardware requirements of the AI model. The platform includes an agent that communicates with infrastructure of the cloud provider or virtualization platform that manages deployed resources tracks allocation of hardware resources to virtual / cloud resources running on the deployment environment. The platform handles deployment of resources for deployment of the AI model “behind-the-scenes” from the user's perspective based on the monitored availability of hardware resources. For added security, the platform performs DLP scanning of data uploaded to the platform for input to an AI model that has been deployed.

A system and method for continual learning in a provider network. The method is configured to implement or interface with a system which implements a semi-automated or fully automated architecture of continual machine learning, the semi-automated or fully automated architecture implementing user-configurable model retraining or hyperparameter tuning, which is enabled by a provider network. This functions to adapt a model over time to new information in the training data while also providing a user-friendly, flexible, and customizable continual learning process.